No-frills tech news

Remember Waymo running over that cat? BYD has published a patent that ...

Car patents are usually focused on unique design elements or aerodynamic improvements. But BYD has just published a new patent that addresses an often overlooked safety concern. The recent patent is for underbody detection of living organisms, using computer vision to capture an image of the vehicle’s underside, which is then stored as a reference image once the vehicle is turned off. It was published by China’s National Intellectual Property Administration on June 12th. BYD’s recent patent could save lives The underbody detection patent has some boring jargon to read through, basically learning to identify static components, like suspension parts and the battery enclosure, so it can see what is different when it stands. Namely, living organisms. It will be able to distinguish between harmless environmental changes, like shadows and debris, and movement from a living thing. While the initial reaction to such a patent is to acknowledge BYD’s overall improvements to its monitoring system, with BYD attempting to create a broader, more intelligent sensing ecosystem across the entire vehicle, I think this specific sensor is pretty standout. Remember that whole debacle with Kit Kat? I’ve discussed it before, but it was a national story about a Waymo running over a cat in San Francisco. It was used as an argument against autonomous vehicles, with critics claiming they posed a danger to society. Some even claimed the Waymo had driven over the sidewalk to intentionally hit the cat. While it’s sad to see a cat die, Waymo wasn’t really at fault. At least in my opinion. Footage showed that the cat had lied down in front of the Waymo’s front tire out of range of the sensors. You could say that Waymo doesn’t have enough sensors, but a human wouldn’t have seen this cat either. In fact, humans kill 5.4

9 New US Traffic Laws Travelers Should Be Aware Of In 2026

9 New US Traffic Laws Travelers Should Be Aware Of In 2026 Few things scream American travel more than hitting the road on an epic tour of the United States. From the deserts of the Southwest, through to the Smoky Mountains in the East, and everything in between, it's an unequalled country for road tripping. But travelers often assume that traffic laws are broadly the same wherever they go. In reality, driving rules can vary significantly between states, and most of them are updating and changing rules, or even adding completely new ones on a yearly basis. 2026 is no different, with a number of changes coming into play across the country. Many of the changes focus on distracted driving, automated enforcement, speeding, and roadside safety. In short, they're often vital but nuanced shifts that might fly as an unenforced bad habit in some states. While local drivers may have spent months hearing about these updates, visitors arriving from another state or overseas could easily find themselves breaking the rules without realizing it. Whether you're planning a cross-country road trip, driving between national parks, or simply renting a car during a vacation, these are some of the new traffic laws worth knowing before you hit the road in 2026. Wherever you go, don't forget to throw on a playlist packed with the best road trip songs. Pennsylvania begins enforcing Paul Miller's Law In the past, Pennsylvania prohibited texting while driving but allowed motorists to hold their phones for other purposes, like directions or for calls. That all changed with Paul Miller's Law. This legislation was introduced in June 2025 in remembrance of Paul Miller, who was killed in 2010 in a collision with a tractor-trailer that crossed the median while the driver was distracted by their cell phone. Lawmakers hope

China's Xiaomi unveils a robotic arm for <b>automated</b> home EV charging

China’s Xiaomi unveils robotic arm that enables remote, hands-free home EV charging Xiaomi has unveiled a home charging robotic arm designed to automatically connect and charge electric vehicles. The Chinese tech giant, Xiaomi, has offered a closer look at its vision for the future of home EV charging, unveiling a robotic arm system that can automatically connect a vehicle to a charger without any driver intervention. The company says the technology is scheduled for commercial release in the fourth quarter of 2026. The automated charging arm is intended to work alongside smart parking functions, creating an integrated experience in which a vehicle parks itself and begins charging autonomously. According to Xiaomi, the goal is to remove the friction from everyday EV ownership by combining automation and AI into a single home charging solution. The company also stressed that the demonstration video released with the announcement was recorded in a real-world environment rather than a controlled concept showcase. Xiaomi said the functions featured in the footage are already production-ready, suggesting that the technology is nearing commercial deployment. Drivers can park, walk away, and let the robot do the charging As part of the unveiling, Xiaomi outlined a range of everyday use cases designed to make home EV charging almost entirely hands-free. The company says the system is built around convenience, allowing drivers to interact with the charger as little as possible, CarNewsChina writes. One of the key features is what Xiaomi describes as automatic charging. After the vehicle is parked, the robotic arm detects its position, connects the charging cable, and begins charging without requiring any manual input. Drivers can simply leave the vehicle and let the system handle the rest. The charging process is also designed to end automatically. Once the battery reaches full capacity or a user-defined charging limit,

Tesla on Autopilot Smashes Straight Through Garage Door, Driver Says

A Washington driver’s Tesla literally made an entrance by swerving into someone’s garage door and smashing it completely open. Of course, because Tesla’s autonomous driving software has a reputation for making dumb errors and getting into accidents, they’re blaming it all on the car. According to local reporting from King 5 News, the driver of the vehicle is claiming that Tesla’s self-driving mode “malfunctioned” before the crash on Monday, which police say they’re investigating. A photo shows the red Tesla firmly lodged in the victimized garage, with the mangled remains of the garage door hanging around it. (A cop can be seen snapping a pic of the cartoonish spectacle, surely for official investigative purposes.) Beyond the driver’s claims of deus ex machina, the details so far are mundane. Officers from the Redmond Police Department responded to the scene at around 11 AM, according to King 5. No injuries were reported, thankfully, and there were no indications that impairment was a factor. The reporting states the driving mode in question was Tesla’s “autopilot system,” instead of the proper Autopilot, which is Tesla’s less advanced driving system. Full Self-Driving (Supervised) is Tesla’s more capable feature, although its name is a misnomer, since it’s not capable of fully driving itself and requires constant supervision. If Tesla’s driving software really was at fault, it’s easy to see how the driver may have been lulled into a false sense of security. The software certainly has a track record of veering unexpectedly. Cars running Full Self-Driving have displayed such a proclivity for driving into the path of oncoming trains that federal regulators launched an entire investigation into this literal death-drive phenomenon. Earlier this year, a SpaceX engineer even shared footage showing how FSD suddenly turned and tried to drive straight into a lake, forcing them to

ADCU accuses TfL of “abandoning London's drivers” as Uber and Wayve prepare ...

ADCU accuses TfL of “abandoning London’s drivers” as Uber and Wayve prepare autonomous vehicle trial in the capital - Perry Richardson - 13 minutes ago - 2 min read The App Drivers’ and Couriers’ Union (ADCU) has accused Transport for London (TfL) of failing to provide answers over the planned rollout of autonomous vehicles in the capital, following announcements that Uber and autonomous driving technology firm Wayve are preparing for public trials. The union’s intervention comes after Uber and London-based Wayve opened an interest list for people wanting to take part in future autonomous vehicle journeys. Uber has described the technology as “tested and ready to go”, with London set to become the first city in the world to host commercial Wayve journeys before the technology expands to more than 10 cities globally. During the initial phase, the vehicles are expected to operate with a human safety driver behind the wheel. However, ADCU says fundamental questions remain unanswered about the role of those drivers and the regulatory framework surrounding the trials. According to the union, TfL has informed ADCU that it has not been involved in discussions regarding the proposed deployment and that no operator has formally approached the regulator. Cristina-Georgiana Ioanitescu, ADCU General Secretary, criticised TfL’s position, saying: “TfL cannot just abandon London’s drivers, shrug its shoulders and say ‘it’s nothing to do with us’ as massive global corporations fundamentally reshape the taxi and private hire industry.” Ioanitescu added that drivers require immediate clarity on licensing and accountability arrangements before any trial proceeds. “Our members need urgent answers from TfL about the use of human safety drivers during the trial phase,” she said. “Will these safety drivers be required to hold a valid TfL Private Hire Vehicle (PHV) licence? Who will be held liable if there is a technical

<b>Self-driving cars</b> could be introduced on Irish roads in a controlled rollout, experts say

Self-driving cars could be introduced on Irish roads in a controlled rollout, experts say If you believe Elon Musk, the chief executive of Tesla, fully autonomous self-driving cars have been only a few years away for nearly a decade now, however, progress in the area has been very slow given the difficulty of the challenge it presents and the severe consequences that could result if something goes wrong. In the US, companies have been working on the problem for years with some rolling out driverless taxi programmes across major cities such as Los Angeles, Dallas, and Heuston. Earlier this week, Uber said users could sign up for a chance to ride in London's first robotaxis as soon as regulators give the go-ahead for launch. Uber said the cars will use technology from British start-up Wayve to drive themselves round the English capital's streets, but will initially have trained operators sitting behind the wheel monitoring the system. In addition, Tesla has its supervised driver assistance software authorised in Belgium, the Netherlands, Lithuania, Estonia and Denmark. However, this is not a fully autonomous driving software that has long been promised by the US electric carmaker. Tesla has also reportedly been in talks with the Irish Government to get its driver assistance software approved here. Read More Professor of electrical and electronic engineering at the University of Galway, Martin Glavin, who has for years been working on the technology that helps cars see better, said he believes autonomous vehicles should be allowed onto Irish roads in a controlled manner as the technology behind them is “very good” and getting better every day. Prof. Glavin also works with the Connaught Automotive Research (CAR) Group, which is based out of the University of Galway and is affiliated with Lero, the Research Ireland Centre for Software.

Community Voice: For safe streets, don't let information substitute for action | Chattanooga ...

I got hit by a car in a crosswalk two Fridays ago. I'm fine. I was mostly able to dodge the car, and I caught it on video as it sped off. When I made a post online about the incident, I mentioned that things could have been worse if I had been pushing a stroller. Someone responded with a police scanner, from that same day, describing a crash in which a child was loaded into an ambulance after a stroller was hit by a vehicle. Chattanooga has made remarkable progress reducing violent crime. Overall, it has fallen for multiple years in a row, and homicides continue to trend downward. Here, the city identified a public safety problem, collected data, assigned responsibility and acted with urgency. Yet we approach traffic violence very differently. Traffic crashes continue to kill and seriously injure Chattanoogans every year, but we often treat them as unavoidable. We call them accidents and rarely ask why they keep happening. Rarely do we ask whether the streets themselves are contributing to the outcome. (IN THE NEWS: Jury finds driver guilty after 2023 Frazier Avenue crash) In a Centers for Disease Control and Prevention study of 29 wealthy nations, the United States ranked worst for traffic deaths. The difference isn't genetics or driving skill. It's that many peer countries design their roads around the reality that humans make mistakes. That is why I was initially excited to learn Chattanooga was pursuing a $17 million Safe Streets for All grant. This is one of the few federal funding sources specifically aimed at transportation safety. Before I go any further, let me be clear: I am not opposed to data, research, technology or Chattanooga's Smart City initiatives. The problem is when information becomes a substitute for action. The grant proposal describes

Tesla Adds FSD Streak Celebrations in FSD V14.3.4

Tesla is gradually turning autonomous driving into a video game. If you have been using Full Self-Driving (Supervised) recently, your Tesla might soon throw a mini party on your center screen to celebrate your driving habits. David Moss (@DavidMoss), a Tesla owner who previously made headlines for going almost 13,000 miles on FSD without a single intervention and completing the first fully autonomous, coast-to-coast drive across Canada, noticed a surprise on his screen when going out for a drive on Friday morning. “My 2025 Model 3 screen this morning when backing out of the driveway just randomly congratulated me all at once back to back on passing FSD streak of 250, 500, 1000, & 5000 miles,” he said on X, noting that he’s currently going on 8,767 miles without an intervention. Party Time 🎊 — David Moss (@DavidMoss) June 12, 2026 My 2025 Model 3 screen this morning when backing out of the driveway just randomly congratulated me all at once back to back on passing FSD streak of 250, 500, 1000, & 5000 miles I couldn’t catch 250 on camera in time My FSD streak is currently at 8,767 miles pic.twitter.com/2SF1HZtnbq Moss shared images of his center display completely blanketed in bright, multi-colored digital confetti. Right in the middle of the driving visualization, a glowing banner pops up reading "X mi Streak Reached." The Evolution of FSD Gamification These new celebratory graphics add to a pattern of gamification that has been solidifying with recent FSD updates. First, FSD v14.2 introduced a dedicated Self-Driving Stats section in the vehicle menu to track the total ratio of autonomous versus manual miles driven. Then, Tesla debuted intervention-less FSD streaks in version 14.3.3 last month, adding a dedicated streak widget on the left side of the main screen, right above the speed limit

Xiaomi unveils home charging robotic arm, targeting Q4 2026 launch

Xiaomi unveils home charging robotic arm, targeting Q4 2026 launch Xiaomi Auto announced yesterday that its home charging robotic arm is expected to hit the market in the fourth quarter of 2026. According to Xiaomi, the robotic arm is designed to provide a seamless, intelligent experience that bridges automated parking with autonomous charging. Xiaomi emphasised that the demonstration video released alongside the announcement was filmed in a real-world setting, confirming that all showcased features are production-ready. Key features and user scenarios Xiaomi highlighted several convenience-focused scenarios for the home charging robotic arm: - “Lazy” charging: Once the vehicle is parked, the system automatically initiates the charging process. Owners can simply park and walk away without needing to issue any commands or perform manual operations. - Automatic unplugging: The robotic arm automatically disconnects the charging gun once the battery reaches full capacity or a pre-set limit. - Remote charging: Users can initiate charging remotely via their smartphones, provided the vehicle is parked within the robotic arm’s reach, eliminating the need to physically attend to the car. The rise of automated charging The race for automated charging solutions is heating up, with several major players in the Chinese automotive sector making significant strides: - Li Auto: During the launch of the Li Auto i8 pure electric SUV last year, CEO Li Xiang announced that the company was actively testing its own automatic charging robot. - Aito: In August last year, Harmony Intelligent Mobility Alliance (HIMA) showcased a demonstration of the Aito M8 pure electric version using a robotic arm. The system allows drivers to use an “off-vehicle parking” feature to guide the car into a charging bay, where a smartphone app triggers the robotic arm to open the charging port and insert the plug. The process is designed to be completed within

This self-<b>driving</b> breakthrough could make night vision next-level

When you buy through links on our articles, Future and its syndication partners may earn a commission. Quick Summary Researchers have created a new camera sensor that mimics the human eye, allowing self-driving cars to see more clearly in the dark. The technology could improve night-time safety by helping vehicles detect hazards, pedestrians and obstacles more reliably. One of the biggest challenges for self-driving cars isn't navigating busy city streets or complex junctions but coping with changing light. Confused advanced camera systems may about to get a whole lot clearer. Researchers at Penn State University have developed a new light-adaptive sensor designed to work more like the human eye. Instead of struggling when lighting conditions change, the technology automatically adjusts in real time. This helps cameras maintain accuracy from bright daylight to dusk or near darkness. Early tests showed more than 95% visual accuracy across different lighting conditions. Promising stuff. The breakthrough takes inspiration from the rods and cones in our eyes, which constantly adapt as light levels change. By mimicking that process, the sensor could help autonomous vehicles recognise pedestrians, cyclists and obstacles more consistently, even when visibility is poor. Night-time is still one of the toughest environments for driver-assistance and autonomous driving systems. Existing cameras can lose accuracy in the face of glare, darkness, fog or sudden changes in brightness. This is why carmakers continue investing heavily in new sensor technology. While this latest development won't instantly create fully autonomous cars, it could become an important piece of the puzzle. Better vision means better hazard detection, faster reactions and improved safety when conditions are less than ideal. For drivers, that could eventually mean cars that spot danger before you do – even on the darkest roads. And if self-driving technology is ever going to become truly mainstream, learning

Commercial <b>Vehicle</b> Group and Advanced Energy Shares Are Soaring, What You Need To Know

Commercial Vehicle Group and Advanced Energy Shares Are Soaring, What You Need To Know Weixin Lin / June 12, 2026 What Happened? A number of stocks jumped in the afternoon session after Trump's Iran peace signal offered more credible prospect of ending a three-month supply-chain disruption that squeezed manufacturers, logistics companies, and commodity processors since the Strait of Hormuz effectively closed in late February. Cyclical stocks led the broader rally, with the VIX falling 12.5% to 19.44, a sign that investors were broadly repricing geopolitical risk lower. The Strait handles roughly 20% of global seaborne oil; its closure forced rerouting at significant cost while elevating energy-input costs for industrial producers. Lower oil, WTI at $87.71 from a wartime peak near $100, directly reduces operating costs across manufacturing, chemicals, and transportation. The rate hike probability falling from 51% to 36% additionally improved the financing environment for capital-intensive industrials that have deferred investment decisions. The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Among others, the following stocks were impacted: - Heavy Transportation Equipment company Commercial Vehicle Group (NASDAQ:CVGI) jumped 7.9%. Is now the time to buy Commercial Vehicle Group? Access our full analysis report here, itâs free. - Electronic Components company Advanced Energy (NASDAQ:AEIS) jumped 4.1%. Is now the time to buy Advanced Energy? Access our full analysis report here, itâs free. Zooming In On Commercial Vehicle Group (CVGI) Commercial Vehicle Groupâs shares are extremely volatile and have had 57 moves greater than 5% over the last year. In that context, todayâs move indicates the market considers this news meaningful but not something that would fundamentally change its perception of the business. The biggest move we wrote about over the last year was 3 months ago when the stock gained 23.2% on

PXGEO and Equinor test the Sabertooth <b>autonomous</b> underwater <b>vehicle</b>

PXGEO and Equinor have signed a one-year framework agreement to conduct advanced testing of the Saab Sabertooth. The project aims to validate the performance of this autonomous underwater vehicle in underwater infrastructure inspection tasks without requiring direct operator intervention during the mission. The initiative marks PXGEO's entry into the autonomous underwater inspection segment , a market that is gaining prominence as the offshore industry accelerates the adoption of technologies capable of reducing operating costs and improving efficiency in complex environments. As part of the agreement, an initial test campaign has already been scheduled off the coast of Norway. During the operation, the Saab Sabertooth will autonomously perform docking maneuvers before carrying out inspection tasks on underwater infrastructure . In addition, the system will operate in AUV (Autonomous Underwater Vehicle) mode, using integrated sensors to gather environmental information. Onboard equipment includes sonar systems and cameras that will provide detailed data on the condition of the inspected assets. The test will serve to verify the platform's autonomous behavior under real-world conditions and evaluate its ability to complete subsea inspection missions with a high level of independence. The Saab Sabertooth has been developed to combine autonomous navigation capabilities with underwater intervention functions. This combination allows the platform to perform tasks that traditionally required vehicles operated from support vessels. Consequently, technology could help reduce reliance on manned resources during certain offshore operations . This trend is gaining traction among energy operators seeking to optimize the management of subsea assets through automated solutions. According to Peter Erkers, Head of Strategy at PXGEO, this agreement represents the company's first commercial contract in the field of autonomous underwater inspection. The collaboration with Equinor also provides a suitable setting to validate the technology in a demanding operating environment. The experience gained during testing will allow us to measure

DoT delicenses mid, high frequency bands to boost passenger safety, <b>autonomous car</b> development

New Delhi: The telecom department has exempted spectrum in the 5.9 GHz band and the high-frequency band of 77-81 GHz from licensing requirements, which experts believe will boost passenger safety in vehicles and pave the way for the development of autonomous vehicles. The spectrum in the frequency band of 5.9 GHz has been exempted from a licence for wireless gear installed in the vehicle to enable its connectivity with the intelligent traffic management system. "The establishment, maintenance or working of On Board Unit installed on a vehicle, forming a part of such vehicle or held or carried by an individual in relation to a vehicle for the sole purpose of cellular vehicle-to-everything communication, which is operated as part of an intelligent transport system in the 5875-5905 MHz frequency band, shall be permitted without assignment of radio frequency, on non-interference, non-protection and non-exclusive basis," the notification said. According to the notification dated June 11, no license will be required for possession of such on-board-unit by any person or its sale or hire by any dealer. The frequency band of 77-81 GHz is used for the establishment, maintenance or operation of a short-range Automotive Radar System installed on a vehicle and operating in the exempted frequency band. These radars are used for the automatic passenger safety system ADAS (Advanced Driver Assistance Systems), which enables features like emergency braking, lane departure warnings, and adaptive cruise control. "The establishment, maintenance or working of a Short-Range Automotive Radar System installed on a vehicle and operating in the 77-81 GHz frequency band, shall be permitted without assignment of radio frequency, on noninterference, non-protection and non-exclusive basis; and...no license shall be required for possession of such Short-Range Automotive Radar System by any person or its sale or hire by any dealer," the notification said. Former CMD BSNL

Taiwan Excellence Brings Trusted AI Innovation to ITS America 2026 ...

Skip to main content Publishing Partner: Taiwan Excellence Publishing Partners Taiwan Excellence Brings Trusted AI Innovation to ITS America 2026, Strengthening Taiwan–U.S. Mobility Partnerships Gift Article Share Expand Ming-Ya Lin, Director of TECO Chicago, joins Robert Edelstein, Senior Vice President and Global Intelligent Transportation Systems Lead at AECOM, and Bobby McCurdy, Vice President of Policy and Advocacy at ITS America, during a guided tour of the Taiwan Excellence Pavilion at ITS America Conference & Expo 2026 in Detroit. (Taiwan Excellence) June 12, 2026 01:29 PM EDT

First International ECAVA Forum | Shaping Europe's digital future

The Forum marks the first public milestone since the launch of the European Connected and Autonomous Vehicle Alliance (ECAVA) in October 2025 and its working groups in February 2026. Under the theme "From collaboration to deployment", participants will discuss how to transform technical cooperation into concrete industrial action and large-scale deployment. Opening the event, Executive Vice-President Henna Virkkunen will launch the Autonomous Drive Ambition Cities (ADACities) flagship initiative to accelerate the deployment of AI-enabled autonomous mobility solutions in European cities. The conference will focus on Europe's position in the rapidly evolving global automotive landscape; investment and technology gaps across the digital automotive ecosystem, opportunities for international cooperation, and pathways to scaling autonomous mobility solutions. Participants from Europe, Japan, UK and US will share experiences and explore partnerships. ECAVA members will present the Alliance's draft technology roadmaps and priorities for software-defined vehicles, data pooling and foundational AI model development for the Autonomous driving stack, next-generation automotive hardware, and the deployment of autonomous vehicles. Representatives from the European Commission and European Parliament will give updates on the implementation of the Automotive Action Plan and related initiatives. The event will conclude with an online Information Day on 25 June on ADACities Call for Expression of Interest, open to all interested stakeholders. The online seminar will be available on the Commission’s streaming service. The Forum comes at a pivotal moment for the European automotive sector. Building on the Commission's Automotive Action Plan and Apply AI Strategy, ECAVA aims to strengthen EU's technological sovereignty, accelerate innovation and the development of a competitive European ecosystem for software-defined and autonomous vehicles. Read more about the European Connected and Autonomous Vehicle Alliance (ECAVA).

What Waymo's upcoming arrival means for the DMV | Communities | thesentinel.com

The idea of self-driving cars used to be something out of science fiction stories, whether it was KITT, a futuristic talking car from the 1980s TV series Knight Rider, or the robotic Jonny Cab taxis from the 1990 film Total Recall. Now, however, people can see cars like these driving on the streets of the DMV. The driverless taxi service Waymo has become an innovative form of transportation in many major American cities, responsible for more than 500,000 rides per week. While the majority of these rides occur in the western United States, Waymo is beginning to test its services in Baltimore and Washington, D.C. Self-driving cars like the Waymo appear to be a recent invention, but autonomous technology has a surprisingly long history in the automobile industry. Former U.S. Army engineer Francis Houdina became one of the first to create a driverless car in 1925, exhibiting what he called the “American Wonder” in New York City. Rather than being completely autonomous, though, radio controlled this car, similar to today’s remote-controlled toy cars. By the late 1960s, roboticists created the first fully autonomous vehicle, named “Shakey the Robot,” complete with internal computers, cameras, sensors and even early AI software that allowed it to navigate a route fully independently. This series of advancements continued into 1995, when, as part of the “No Hands Across America” project, two graduate students at Carnegie Mellon University successfully built a car that drove across the country almost completely on its own. In 2015, after indulging in their own self-driving car project, Google’s prototype “Firefly” made a fully independent trip through Austin, Texas. In 2016, Firefly became what is now known as Waymo. Since then, Waymo has continued testing and refining its design, launching the Early Rider Program in 2017 as its first public trial. It

Baidu AmiGo <b>Autonomous Vehicle</b> Service Approved in Switzerland

Baidu's AmiGo Autonomous Service Gets Green Light in Switzerland Baidu announced on Friday that its autonomous vehicle service, AmiGo, has secured regulatory approval to begin operations in an eastern region of Switzerland. The service was developed in collaboration with PostBus, the country's public bus operator. According to Baidu, the company intends to launch regular fully driverless operations of the joint service by early 2027, contingent on meeting all safety and regulatory requirements. The firm described the service as set to become Europe's largest automated public transport operation of its kind. The fleet will consist of Apollo Go's fully electric RT6 vehicles, which can carry up to three passengers and are fitted with more than 30 sensors. Baidu stated that AmiGo services will be bookable through a dedicated application. Level 4 autonomous driving, the technology used, allows a vehicle to operate without a human driver under specific conditions. Baidu had previously announced its partnership with PostBus last year, as the Chinese technology company accelerates the global expansion of its self-driving business. The company, which operates China's leading search engine, has been increasing its focus on technologies such as autonomous driving and artificial intelligence, as its advertising-driven search engine business has slowed amid a weakening Chinese economy. This report provides a comprehensive view of the snow or golf motor vehicle industry in Switzerland, tracking demand, supply, and trade flows across the national value chain. It explains how demand across key channels and end-use segments shapes consumption patterns, while also mapping the role of input availability, production efficiency, and regulatory standards on supply. Beyond headline metrics, the study benchmarks prices, margins, and trade routes so you can see where value is created and how it moves between domestic suppliers and international partners. The analysis is designed to support strategic planning, market entry, portfolio

Venti's <b>Autonomous Vehicles</b> Shatter 500,000-Mile and 340,000-Container Metrics in Global ...

Venti’s Autonomous Vehicles Shatter 500,000-Mile and 340,000-Container Metrics in Global Logistics Hubs Milestones affirm growth of AI-powered Autonomous Vehicle logistics demand in ports, rail yards, factories, and warehouses Venti Technologies today announced its AI-powered autonomous vehicles (AVs) have traveled more than 500,000 miles and moved more than 340,000 containers, thus demonstrating Venti's leadership in autonomous logistics. These milestones represent transformative customer productivity gains in real-world industrial settings as well as the company's leadership in AI-powered AV solutions for logistics hubs. "Global logistics sites and supply chain nodes are burdened by many inefficiencies, including labor shortages, human error, and rising costs," said Heidi Wyle, Ph.D., Venti's Founder and CEO. "Billions of dollars are wasted on congestion, bottlenecks, and delays. Venti uses AI to eliminate friction in the supply chain, thereby providing customers with transformational and sustained cost savings." Venti's Driver-Out Autonomy Operates at Industrial Scale Venti is the only1 company that has successfully operationalized driver-out AVs in real-world logistics hubs and industrial yards. It has been operating a fleet 24/7 in full operational production for two and a half years with greater than human productivity. Venti's AV trucks carry loaded shipping containers in mixed human-robot traffic without dedicated lanes or added infrastructure. The vehicles manage localization and decision-making on board and drive and park within 1-inch (2 cm) positional accuracy, which results in ensured safety and streamlined operations. While integrating directly with terminal workflows and operating systems, Venti's technology enables customers to exceed human productivity, increase throughput, improve safety, reduce emissions, lower operating costs, and scale autonomous logistics across multiple complex sites. Venti's Platform Learns and Improves with Every Operation Venti's autonomy systems continuously learn from live operational data through training on 1 million data points per second from each vehicle, which makes its AI smarter and more productive and cost

CBT <b>Automotive</b> Newscast: June 12, 2026

Top Stories May inventory holds at 2.89M as robust retail sales tighten market conditions. Read More CarGurus finds used car prices top $30k, new vehicle demand turns positive. Read More Japanese automakers face $40B hit from U.S. tariffs and EV policy shifts. Read More Trust gap continues to slow autonomous vehicle adoption, JD Power finds. Read More Featured Interviews What GM’s autonomous vehicle strategy could mean for dealers Fifteen years ago, many industry experts believed in a bold, fully-autonomous future. One that by now would have driven the cost per mile of Ridehailing down so far as to convince all of us to no longer own vehicles ourselves. This dystopian future would have meant no more new car sales to consumers; very few consumers owning cars in their driveways, and transportation would have been redefined by ubiquitous, driverless robotaxis circulating around city streets. Watch the full segment here.

MINIEYE, LDROBOT team up on Physical AI, embodied intelligence | Gasgoo

Gagsoo Munich- Chinese autonomous driving technology company MINIEYE announced on June 11 that it has entered into a strategic partnership with robotics developer LDROBOT. The two companies will collaborate in the emerging fields of Physical AI and embodied intelligence, combining their expertise across technology development, product innovation, application scenarios, and data infrastructure. Image source: MINIEYE According to MINIEYE, the partnership is designed to accelerate the commercialization of Physical AI technologies, expand the application boundaries of autonomous vehicles and intelligent robots, and strengthen the competitiveness of both companies as the industry moves toward real-world deployment of next-generation AI systems. At its core, Physical AI seeks to enable artificial intelligence systems to understand and respond to the physical world, allowing them to perceive environments, make autonomous decisions, and interact dynamically with people and surroundings. Achieving this requires the close integration of advanced algorithms, large-scale real-world data, and reliable hardware execution capabilities. Autonomous driving and robotics share many foundational technologies, yet each sector brings distinct strengths to the development of Physical AI. The autonomous driving industry has already established commercial operations in open-road environments, generating vast amounts of dynamic traffic data while refining advanced decision-making algorithms and automotive-grade production systems. Robotics companies, meanwhile, have built expertise in indoor and last-mile applications, particularly in spatial perception, motion control, and hardware integration. Against this backdrop, MINIEYE and LDROBOT have outlined four strategic areas of collaboration: developing a shared Physical AI technology foundation, building a comprehensive product portfolio for diverse application scenarios, advancing commercialization and deployment initiatives, and creating integrated data and resource-sharing mechanisms. The partnership aims to serve as a new model for cross-industry collaboration in the Physical AI ecosystem. The companies plan to jointly develop a foundational technology platform for Physical AI. MINIEYE will contribute its full-stack capabilities in end-to-end autonomous driving models, Physical