Why is Waymo using Nashville as a test case for robotaxis? | Opinion Autonomous technology may one day improve safety. But “may” is not good enough for a city like Nashville. It should come as no surprise that, within days of beginning operations in Nashville, Waymo began experiencing operational problems. We’ve seen this play out before. In cities across the country, autonomous vehicle rollouts have quickly been followed by real-world failures. In San Antonio, a Waymo robotaxi drove the wrong way on a one-way street during morning drop-off at Cambridge Elementary. In Austin, the National Transportation Safety Board is investigating another case of Waymo passing a stopped school bus – even after claims the issue was fixed. And in Los Angeles, a Waymo vehicle drove the wrong way through a drive-thru. Now those same patterns are emerging here in Nashville. Why Nashville and Waymo don't mix I’ve spent my career representing people hurt by preventable crashes, and one lesson stands out: When convenience gets ahead of caution, the public pays the price. Nashville is a uniquely challenging place in which to drive. It’s a fast-growing city with dense downtown traffic, constant construction, heavy rideshare use and unpredictable elements – like pedal taverns weaving alongside buses and delivery vehicles. It requires quick judgment, adaptability and clear communication between drivers. Those are exactly the areas where autonomous vehicles are still struggling. In just the early days of operation, there have already been examples of Waymo vehicles hesitating mid-turn, stopping in intersections and pausing for extended periods when confronted with unusual traffic patterns. There have been awkward turns, navigation missteps and delays that disrupt the normal flow of traffic. These may sound like minor issues. But in a busy, tightly packed urban environment, hesitation and unpredictability create real risks. When one vehicle behaves
Apr 18, 2026 · via theleafchronicle.com
Autonomous vehicles could link Wellcome Genome Campus to Whittlesford Parkway railway station One of the UK’s first autonomous vehicle routes could be coming to Cambridgeshire, after the government confirmed funding for a link between the Wellcome Genome Campus and Whittlesford Parkway railway station. Intended to offer a safe and reliable way for people to travel to and from the expanding Hinxton-based campus, the electric autonomous vehicle route would also create a scalable model for similar uses across the country. Funding for a year-long feasibility study has been granted under the government’s CAM Pathfinder Programme. This will enable the campus to explore what is needed to run the service safely, regularly and at a sustainable cost. Robert Evans, chief executive of the Wellcome Genome Campus, said: “As we progress with our major expansion – which will see our campus triple in size over the next 10-15 years – we are looking at new transport solutions that support sustainable growth and better connectivity. “We’re delighted to have been given the green light for this study, which will look into introducing one of the UK’s first corridors for autonomous vehicles. This would not only be game-changing for the Wellcome Genome Campus, but boost growth and connectivity more widely, while also delivering a scalable model for the use of autonomous vehicles across the UK. “Government support for this study allows us to explore how autonomous technology can operate safely and reliably at scale and we are excited to get started.” Shuttle buses and coaches currently run between the campus and Whittlesford Parkway, as there is no direct public transport link. But the Wellcome Trust says a dedicated land corridor for autonomous vehicles would make it easier for workers and visitors to reach the campus, offer predictable journey times, and help to cut congestion and
Apr 18, 2026 · via cambridgeindependent.co.uk
A new research report commissioned by the District Department of Transportation reinforces what traffic expert Amy Witherite and other safety advocates have been warning: autonomous vehicles are not yet ready for unrestricted deployment in complex urban environments in complex urban environments, and a cautious, accountability-driven approach is essential. “The takeaway is clear—this technology is still evolving, and when it comes to dense urban areas like Washington, D.C., safety cannot be assumed. We’re seeing real-world evidence that autonomous vehicles can struggle with unpredictable conditions and emergency situations, challenges that human drivers navigate every day.” The report finds that many automated vehicle systems remain limited to tightly defined operating conditions and lack consistent, enforceable safety standards at the federal level. It also notes that current oversight relies heavily on company self-reporting, leaving gaps in transparency and accountability. Importantly, the research emphasizes that cities should not rush into widespread deployment. Instead, it recommends a phased approach starting with controlled pilot programs, strict safety requirements, and robust data reporting to ensure public safety is protected. Witherite pointed to Washington, D.C.’s measured strategy as a model for responsible governance. “D.C. is taking the right approach by not opening the floodgates. Requiring testing, oversight, and clear accountability ensures that companies prove their systems are safe before putting the public at risk.” The report also underscores the importance of local control, noting that cities are on the front lines of managing impacts to traffic, pedestrians, and emergency response. Without strong local oversight, autonomous vehicle deployment could introduce new risks, from congestion to safety hazards for vulnerable road users. “With any new technology, especially one that directly impacts public safety, the burden should be on the companies not the public to demonstrate it works safely. Until that standard is met, caution isn’t just reasonable it’s necessary.” As autonomous
Apr 18, 2026 · via daily-tribune.com
Uncrewed underwater vehicle enters service in Australia, can boost autonomous warfare power The Ghost Shark’s modular configuration allows it to be tailored for different roles. Australia is advancing its naval capabilities with the introduction of the Ghost Shark extra-large autonomous underwater vehicle (XL-AUV). The system reflects the growing importance of unmanned and AI-driven technologies in modern maritime operations. Developed through a partnership between Anduril Industries and Defence Science and Technology Group, this platform is now moving into operational service with the Royal Australian Navy. Its induction is accompanied by the establishment of dedicated units focused on managing and deploying autonomous maritime systems, signaling a structural as well as technological shift in naval strategy. Uncrewed system can operate for extended periods beneath ocean surface Unlike traditional submarines, the Ghost Shark is an uncrewed system designed to operate independently for extended periods beneath the ocean surface. Its design emphasizes stealth, endurance, and adaptability, enabling it to perform missions such as surveillance, intelligence collection, and potentially offensive operations without putting human lives at risk. The Royal Australian Navy’s MASU consolidates Project SEA 1200 programs, integrating Ghost Shark, Bluebottle, and Speartooth into a dedicated force with its own control center and deployable teams. The unit is built to move fast, turning prototypes into operational assets, developing doctrine, and pushing autonomous systems into real-world missions, marking Australia’s transition from trials to frontline capability, reported Army Recognition. Drone can be tailored for different roles The Ghost Shark’s modular configuration allows it to be tailored for different roles, making it a versatile addition to Australia’s undersea capabilities. By remaining submerged for long durations and operating quietly, it can monitor sensitive maritime areas with a reduced chance of detection. A key advantage of the Ghost Shark program is its relatively rapid deployment compared to conventional submarine projects. While
Apr 18, 2026 · via interestingengineering.com
Army wants unmanned ground vehicle for ‘last tactical mile’ The Army is looking for an autonomous, unmanned ground vehicle (UGV) to supply frontline troops and evacuate wounded personnel across “the most dangerous and logistically complex” segment of the battlefield, according to a government notice posted Thursday. “The last tactical mile” is the final space between support units and forward lines where equipment, ammunition, supplies and casualties pass “under the greatest threat from enemy observation and fires,” officials wrote. It is an overwhelmingly deadly area, as demonstrated by the grinding, drone-saturated war between Russia and Ukraine, but critical to traverse for resupply and medical evacuations. The Army, which has already been testing UGVs (in some limited cases for years), is looking to expand its stable of ground drones as technology advances and their need becomes increasingly stark in the face of casualty-heavy land operations of the modern era. “The modern battlefield is characterized by persistent enemy surveillance and rapid application of lethal effects at and behind the forward line of troops (FLOT), making any movement to and from the FLOT highly vulnerable,” officials wrote in the notice. “This environment challenges commanders’ ability to resupply units and evacuate casualties.” The UGV the Army is requesting via a commercial solutions opening contracting pathway will be centered around supporting a dismounted rifle platoon or company headquarters, according to the notice. It needs to have two primary functions: transport cargo and evacuate at least two casualties without exacerbating their injuries. “This dual use UGV shall feature a configurable payload to meet the dynamic needs of maneuver formations,” officials wrote, and should be able to resupply and casevac “with minimal reconfiguration.” The notice did not specify how much total weight the UGV should be able to carry or how far it would need to travel under
Apr 17, 2026 · via defensescoop.com
Wayve secured a $60 million Series D extension with backing from AMD, Arm, and Qualcomm, signaling growing confidence in its AI-driven autonomous vehicle approach [1]. This funding round puts Wayve on a path to global deployment but raises questions about its ability to scale against better-capitalized US and Chinese rivals. As AI infrastructure costs soar and supply chains fragment, the stakes for sovereign and competitive autonomy are higher than ever. What is Covered in this Article - Wayve's Series D extension and new strategic investors - AI infrastructure and supply chain challenges for autonomous vehicles - Competitive positioning versus US and Chinese AV leaders - Implications for sovereign AI and global deployment The News Wayve, a UK-based autonomous vehicle company, announced a $60 million extension to its Series D round, bringing in new investment from AMD, Arm, and Qualcomm [1]. The move follows earlier funding and positions Wayve to accelerate its global deployment strategy. The participation of leading chipmakers reflects a growing alignment between AI hardware and software ecosystems. As the autonomous vehicle sector faces rising infrastructure costs and intensifying competition, Wayve's ability to attract strategic capital is a notable signal. The company will need to translate this funding into real-world deployments at a time when the AI supply chain is under pressure and national interests are shaping the future of autonomy. Analysis Wayve's funding extension is a clear bet on the convergence of AI innovation and sovereign control in the autonomous vehicle market. The involvement of AMD, Arm, and Qualcomm is more than just capital; it's a signal that hardware and software integration is now table stakes for global AV competition. But as data center constraints and fragmented supply chains reshape the AI sector, Wayve faces both new opportunities and existential risks. Strategic Investors Signal Hardware-Software Alignment The addition
Apr 17, 2026 · via futurumgroup.com
From shoes to GPUs; super agents; TSMC, ASML results; new chiplets and test facilities; Stanford AI index; photonics deals; compute architecture hall of fame; teens for chips; AI security; automotive edge data architecture; mid $20k e-truck; magnesium battery progress. Cadence expanded its portfolio of ChipStack AI agents with a head agent designed to orchestrate all aspects of semiconductor and system design, along with agents specialized for custom and analog, and for digital implementation and signoff. Cadence is also collaborating with Nvidia to combine agentic AI, physics-based simulation, and digital twins for semiconductor and physical AI engineering, and with Google to integrate Super Agent with Gemini on Google Cloud. Fig.1: Cadence CEO Anirudh Devgan and Jensen Huang discussing AI’s impact at CadenceLive this week. Fig.2: Accelerating AI capability. Source: Stanford 2026 AI Index Report [Ref. 1] Quick links to more news: Global In-Depth Reports and Deals New Technologies Security Vehicles, Batteries Workforce, Education Research Events and Further Reading Semiconductor Engineering published the Manufacturing, Packaging and Materials newsletter this week: Plus: Onto Innovation‘s recently released Dragonfly G5 inspection platform is now qualified for 2.5D AI packaging applications. Intel launched its 18A process node-built Core Series 3 mobile processors for small businesses and edge use cases. Athena introduced a new agentic AI tool, FabOrchestrator, for smart manufacturing in the fab and other environments. In a recent tech talk, D2S‘ Aki Fujimura talks about how far the industry has come in terms of computational resources and multi-beam mask writing to facilitate the move to curvilinear masks and design. Nvidia released a family of open AI models for quantum processor calibration and quantum error-correction decoding. Meta shared details of its second-gen Meta Training and Inference Accelerator (MTIA) chip designed for large-scale infrastructure. Meta will also partner with Broadcom to co-develop multiple generations of the MTIA
Apr 17, 2026 · via semiengineering.com
Self-driving cars being tested in DC | What this means for the future of jobs, transit WASHINGTON (7News) — A new report from the District Department of Transportation (DDOT) outlines how Washington, D.C., may prepare for the future of autonomous vehicles (AVs), as companies remain limited to testing under current law. The report reviews how other cities and states regulate self-driving vehicles, including robotaxis, shuttles, and automated delivery services, as interest in the technology continues to grow. Under current D.C. law, AVs are only allowed to operate in testing mode, and must have a human operator behind the wheel ready to take control. 7NEWS POLL | Do you think driverless cars are safe? DDOT says at least five companies have notified the city of testing activity, including Waymo, which tested robotaxis in the District last year. Two of the companies exploring the market are focused on autonomous bus systems. The report does not establish policy but points out several areas the city may need to address, including: - Developing consumer protection policies specific to autonomous vehicles - Ensuring AV systems can navigate all city streets and emergency situations - Preparing for integration into complex urban environments Officials noted companies expressed little concern about navigating D.C.-specific challenges, such as motorcades and high-security events. The report also raises concerns about job disruption, particularly for ride-share drivers, taxi drivers, transit operators, parking enforcement workers, and workers in the auto repair and insurance industries. SEE ALSO | Waymo seeks approval for driverless ride-hailing in Washington, DC However, it says new jobs could emerge in areas like fleet monitoring, maintenance, and software management. Despite concerns, the report highlights possible advantages, including expanding access to jobs and services, and improved food delivery and mobility options. According to DDOT, a second report focused specifically on robotaxi policy
Apr 17, 2026 · via wjla.com
Dual IAS Seminar: Associate Professor Sumiko Miyata and Professor Takamichi Miyata Externally Funded Fellows Associate Professor Sumiko Miyata and Professor Takamichi Miyata each deliver a seminar on their research. Associate Professor Sumiko Miyata: Incentive-Driven AI Networks for Future Road Safety To achieve fully autonomous driving, 'cooperative perception' via V2X (Vehicle-to-Everything) is essential for eliminating blind spots and improving recognition accuracy. However, a major barrier to sustainable implementation lies in ensuring 'fair incentives' for participants to share data and computational resources. This seminar introduces an AI-driven network framework designed to balance infrastructure efficiency with participant satisfaction. The presentation first covers a reward distribution mechanism based on the game theory concept of 'Nucleolus' to minimise user dissatisfaction within the monitoring system and ensure long-term cooperation. Building on this foundation, the discussion addresses essential network mechanisms for 'City as a Service', such as high-speed AI processing that optimises task offloading between edge servers to minimise communication latency. By integrating incentive design with advanced communication control, it is possible to build a reliable social infrastructure that reduces accidents and optimises urban mobility. Professor Takamichi Miyata: Multimodal AI that Understands Driver Behaviour without Training Data Distracted driving remains a critical safety concern, as even brief lapses in attention can lead to serious traffic collisions. Current supervised learning methods require large, labelled datasets and struggle to generalise, while vision-language model (VLM) based methods enable training-free recognition but tend to capture driver identity rather than actual behaviour. This seminar presents a novel framework that overcomes both limitations. The key innovation lies in decoupling identity-related information from behaviour-related cues, combined with refined textual representations to enhance zero-shot recognition robustness across diverse drivers and environments. By integrating decoupled multimodal representations with a lightweight model architecture, the proposed system achieves practical, scalable performance without relying on extensive labelled data. This
Apr 17, 2026 · via lboro.ac.uk
Sjoerd van der Zwaan, CPO at Solid Sands, discusses compilers and libraries, and how they are essential to the performance of ADAS software platforms. He details how these tools work, the unseen risks that need to be overcome, and how to ensure reliability through verification Advanced driver assistance systems bring increasingly sophisticated software into vehicles. Functions such as lane keeping, adaptive cruise control, automated emergency braking and sensor fusion rely on complex algorithms operating under tight real-time constraints. Consequently, automotive development organizations invest substantial effort to ensure that application software and hardware platforms comply with functional safety standards such as ISO 26262. Yet one critical layer of the software stack often receives far less attention: the compilers and libraries that silently transform our software code into reliable, high-performance executable behavior. These tools operate largely out of sight, but they play a decisive role in determining how ADAS software performs on the road. In fact, no ADAS function can exist without them. The silent force behind ADAS software Compilers translate high-level source code into machine instructions, while standard libraries provide essential functionality for numerical computation, data handling and timing. Together, they form the foundation on which application software is built, and their correctness is often taken for granted throughout the development lifecycle. In practice, this assumption can be risky. Even when application code complies with coding guidelines and the target hardware is safety-certified, deficiencies in the toolchain can still undermine system behavior. These issues typically do not originate in the application logic itself, but in lower layers that are difficult to observe directly. Unseen risks in the toolchain Compiler optimization is a prominent example. Optimization is essential for meeting performance and power consumption requirements in automotive systems, but it also introduces significant complexity. Changes in optimization paths can alter control flow,
Apr 17, 2026 · via automotivetestingtechnologyinternational.com
The EV5 is expected to be among Kia’s best-selling vehicles. Following its initial success, Kia revealed plans to introduce a new high-volume electric SUV. Here’s what we know about the new EV so far. Kia announces a new EV SUV for 2029 After posting its best first-quarter sales in company history, Kia revealed its ambitious plans to drive “exponential growth” over the next four years. During its CEO Investor Day, the Korean automaker announced its mid- to long-term strategy. By 2030, Kia aims to sell 4.13 million vehicles, up from roughly 3.14 million last year. Following a major rebrand in 2021, Kia’s global sales have surged by over 58%, but the company is betting on new electrified vehicles, software, autonomous driving, and robotics to sustain that growth. “EVs, HEVs, autonomous driving, and robotics will serve as key drivers for Kia’s fastest growth to date,” Kia’s CEO, Ho Sung Song, said during the event. The plans include its body-on-frame pickup with hybrid and extended range electric vehicle (EREV) powertrains, due out by 2030. Kia will also launch three new all-electric vehicles, expanding its lineup to 14. By 2030, Kia plans to offer 9 electric SUVs, 2 passenger EVs, and 3 PBV electric vans. After launching the EV2 in Europe earlier this month, Kia already offers an electric option in nearly every segment alongside the EV3, EV4, EV5, EV6, and EV9. Meanwhile, Kia is doubling down on the “high-volume SUV segment” with the EV5 and a new C-segment SUV EV. The EV5 is a midsize electric SUV that’s about the size of the Sportage. After launching in China in 2023, it’s been a key part of Kia’s comeback in the country. After opening orders in Europe, Canada, Australia, South Korea, and other global markets, Kia expects it to become one of its
Apr 17, 2026 · via electrek.co
DriveCentric launches new autonomous AI agents to handle ‘critical workflows’ By subscribing, you agree to receive communications from Auto Remarketing and our partners in accordance with our Privacy Policy. We may share your information with select partners and sponsors who may contact you about their products and services. You may unsubscribe at any time. DriveCentric’s newest AI agents are on their own. The customer engagement platform announced it has expanded the capabilities of its artificial intelligence-powered agents to include autonomously executing several “critical workflows” that dealerships often struggle to cover consistently. The agents, built into the DriveCentric platform, are designed to augment existing tools such as Automation Hub and Genius Reply to handle after-hours lead response, proactive database outreach and long-term customer retention. The expansion introduces three new AI agents. Nurture Agent maintains ongoing, personalized customer engagement after the sale to drive retention and repeat business, DriveCentric said, while Prospect Agent identifies past customers re-entering the market and converts them into sales-ready opportunities before they look elsewhere. Sales Agent is designed to respond to every inbound lead in less than two minutes, 24/7. In a news release, the company said the agents are managed through a new experience layer to give dealers visibility and coaching tools, as well as a centralized dashboard to monitor performance, refine strategies and control customer interactions. Subscribe to Auto Remarketing to stay informed and stay ahead. By subscribing, you agree to receive communications from Auto Remarketing and our partners in accordance with our Privacy Policy. We may share your information with select partners and sponsors who may contact you about their products and services. You may unsubscribe at any time. DriveCentric said its AI agents are trained on more than 10 years of dealership engagement data, vehicle interest, financing behaviors, trade-in cycles and ownership timelines
Apr 17, 2026 · via autoremarketing.com
Physical Intelligence, the two-year-old, San Francisco-based robotics startup that has quietly become one of the most closely watched AI companies in the Bay Area, published new research Thursday showing that its latest model can direct robots to perform tasks they were never explicitly trained on — a capability the company’s own researchers say caught them off guard. The new model, called π0.7, represents what the company describes as an early but meaningful step toward the long-sought goal of a general-purpose robot brain: one that can be pointed at an unfamiliar task, coached through it in plain language, and actually pull it off. If the findings hold up to scrutiny, they suggest that robotic AI may be approaching an inflection point similar to what the field saw with large language models — where capabilities begin compounding in ways that outpace what the underlying data would seem to predict. But first: The core claim in the paper is compositional generalization — the ability to combine skills learned in different contexts to solve problems the model has never encountered. Until now, the standard approach to robot training has been essentially rote memorization — collect data on a specific task, train a specialist model on that data, then repeat for every new task. π0.7, Physical Intelligence says, breaks that pattern. “Once it crosses that threshold where it goes from only doing exactly the stuff that you collect the data for to actually remixing things in new ways,” says Sergey Levine, a co-founder of Physical Intelligence and a UC Berkeley professor focused on AI for robotics, “the capabilities are going up more than linearly with the amount of data. That much more favorable scaling property is something we’ve seen in other domains, like language and vision.” The paper’s most striking demonstration involves an air fryer
Apr 16, 2026 · via techcrunch.com
LISBON, April 16 (Xinhua) -- Portugal's government on Thursday approved a decree-law authorizing tests of autonomous vehicles on public roads, making it one of a limited number of European countries to establish a legal framework for such trials.
The measure aims to attract foreign investment and promote innovation in the autonomous mobility sector, the government said.
The legislation sets out licensing requirements for drivers, system operators, and vehicles, with strict safety standards as a prerequisite for autonomous vehicles operating on public roads.
Earlier this month, Tesla announced it had received approval to deploy its supervised autonomous driving system in the Netherlands, marking the first authorization of the technology in Europe.
Other major players - including U.S. firm Waymo, ride-hailing company Lyft, and Chinese tech firm Baidu - are also advancing autonomous vehicle plans in Europe. ■
Apr 16, 2026 · via english.news.cn
Maryland lawmakers crack down on "super speeders" and vehicles registered in Virginia Maryland lawmakers passed a pair of bills before the end of the 2026 legislative session aimed at cracking down on speeding and vehicles registered in Virginia. Lawmakers say many out-of-state drivers are linked to unpaid speeding tickets and unsafe driving. One bill states that super speeders who had licenses suspended or revoked would now be required to use a GPS device in their car to prevent speeding. Another bill cracks down on Maryland drivers registering their vehicles in Virginia. State leaders claim some of the "super speeders" don't have a Maryland registration. "It just seems like people do what they want to do," Baltimore resident Kenneth Persons said. "They drive the way they want to drive, and some need to be done." A loophole in Virginia has allowed out-of-state drivers, many from Maryland, to register their vehicles in Virginia. Bill focuses on Maryland drivers registered in Virginia The Maryland Motor Vehicle Administration says more than 73,000 vehicles in Maryland were registered in the Commonwealth, and often those drivers don't have insurance. State Senator Cory McCray, who sponsored the bill, said safety is the reason for the legislation. "If you continue to make the bad decision of speeding, of running red lights, of driving without insurance, those bad decisions are going to lead up to an even worse decision that you're going to regret," McCray told CBS News Baltimore. Baltimore City says drivers with Virginia tags often don't pay traffic citations. The city says more than 80% of camera citations issued to cars with Virginia tags in 2024 still haven't been paid. As WJZ previously reported, a woman, going by Anna in this story, says she used to have two cars registered in Maryland. After one was repossessed and
Apr 16, 2026 · via cbsnews.com
Each week I bring you the top stories in the auto industry along with my commentary or sometimes amusing thoughts about the craziness that goes on in the world of cars. Stories you’ll find today: This Is Not How Any of This Works. A Florida man is facing DUI charges after attempting a defense that might be a first—claiming he wasn’t driving because his 2019 Ford F-150 was in “self-drive” mode. According to deputies, the 44-year-old was pulled over after his truck drifted across lanes at what was described as an unhurried pace. When approached, officers noted an open container, the unmistakable smell to match, and a driver who appeared completely convinced he had done nothing wrong. His explanation: the truck had been operating itself for most of the trip, and he was merely supervising with his hands near the wheel. He reportedly asked deputies to look up the vehicle’s features before making any decisions and argued that, as a supervisor, he shouldn’t be held responsible for the vehicle’s actions. There was just one problem—the truck doesn’t have any form of autonomous driving capability. Deputies were already aware of that, and the explanation didn’t gain any traction when the driver suggested the lack of such a feature was the manufacturer’s issue, not his. He was charged with DUI, open container, and failure to maintain a lane, and the truck was impounded. The takeaway here is fairly straightforward: you can’t hand off driving duties to technology your vehicle doesn’t have, and even if you could, “supervising” from the driver’s seat isn’t the legal loophole it sounds like after a few drinks. “I’m Just a Girl” Isn’t a Legal Defense. A Florida driver learned the hard way that “I’m just a girl” isn’t a recognized legal defense after being clocked driving well
Apr 16, 2026 · via carpro.com
Miami, FL - Autonomous vehicle technology is becoming more accessible in South Florida as a major expansion brings driverless ride services to a wider audience. Waymo has officially opened its self driving ride service to the public across Miami, allowing users to request fully autonomous vehicles through its mobile app. The expansion follows an initial rollout phase where access was limited to select riders, and now extends availability to a broader group of residents and visitors throughout the city. The service operates similarly to traditional ride sharing platforms, but without a human driver. Waymo vehicles rely on a combination of cameras, sensors and artificial intelligence systems to navigate streets, respond to traffic conditions and transport passengers. Coverage includes several high traffic areas such as Brickell, Wynwood, Coral Gables and the Design District, with plans to expand into additional neighborhoods. Company officials stated the Miami launch represents another step in Waymo’s broader effort to scale its autonomous transportation network in major urban markets across the United States. The company has previously launched similar services in cities including Phoenix, San Francisco and Los Angeles. Pricing for the service is expected to remain competitive with existing ride share options, though specific fare structures may vary based on demand and distance. Waymo has indicated that continued growth of its fleet and service area will depend on performance, safety data and user adoption in the region. The rollout is ongoing, with additional updates expected as the company expands operations and refines its technology in real world conditions.
Apr 16, 2026 · via big1059.iheart.com
April 16, 2026 01:31 PM EDT
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Apr 16, 2026 · via autonews.com
blog | April 16, 2026 Three reasons camera-first ADAS enables scalable automated driving Many of todayâs automated driving capabilities begin with something surprisingly simple: a camera. Cameras are cost-effective sensors to produce Today's advanced driver assistance systems (ADAS) have evolved in leaps and bounds, and more drivers are beginning to get a taste of autonomous driving. But it can be easy to forget that much of the driver assist technology Mobileye provides begins with a camera. While Mobileye products are integrated with Lidar and radar as part of a comprehensive sensing system, its camera-first approach is the foundation for scalable driver-assistance and autonomous capabilities. We dive into three reasons why Mobileye's camera-first approach is foundational to robust and scalable driver-assistance and autonomous technology and its many use cases. 1. Camera sensors mimic human vision in ADAS systems Road infrastructure is inherently designed for the human eye. We're the ones driving after all. Automotive cameras are designed to capture objects like traffic lights, road signs, lane markings, and road users, all visual information that cameras are uniquely positioned to capture and interpret, complementing what lidar and radar sensors provide. In fact, with as little as a single forward-facing camera and optimized architecture, a vehicle can support ADAS features such as lane departure, front pedestrian detection and even meet core safety requirements. Multiple camera configurations go a step further, designed to support heightened detection and form the basis of a broader automotive perception system capable of detecting surrounding cyclists, pedestrians, and merging vehicles. Mobileye platforms support different camera setups, from a single forward-facing camera in basic driver assistance systems to multi-camera surround systems in more advanced platforms. A typical surround setup includes a high-resolution front camera that looks ahead, along with additional cameras placed around the vehicle. Together, these cameras help support
Apr 16, 2026 · via mobileye.com
AV Fleet Push Ignites Rally: Social media chatter has surged around Uber Technologies' bold moves into autonomous vehicles, with the stock climbing over 6% in the past week amid news of fleet investments and partnerships. Investors highlight the company's strategy to integrate robotaxis from partners like Waymo and Lucid, positioning it to capitalize on the shift regardless of who dominates the technology. This development has fueled optimism about long-term growth in ride-hailing. Partnerships and Europe Edge: Conversations emphasize Uber's expanding deal with Lucid for up to 35,000 vehicles and its regulatory savvy in Europe, where strict AI and data laws favor its neutral platform model. Users note additional investments totaling $500 million in Lucid and praise the network's ability to onboard robot drivers seamlessly. Such alliances are seen as key to maintaining market leadership amid rising competition. Portfolio Favorite Amid Rebound: The stock's recent rebound from yearly lows has drawn it into winning portfolios, with some eyeing targets above $100. While capital allocation draws occasional scrutiny, enthusiasm centers on upcoming earnings potential and premium ride share gains. Overall sentiment leans bullish on execution in a maturing ecosystem. Note: This discussion summary was generated from an AI condensation of post data. Uber Technologies Insider Trading Activity Uber Technologies insiders have traded $UBER stock on the open market 8 times in the past 6 months. Of those trades, 2 have been purchases and 6 have been sales. Here’s a breakdown of recent trading of $UBER stock by insiders over the last 6 months: - NIKKI KRISHNAMURTHY (SVP and Chief People Officer) sold 30,000 shares for an estimated $2,233,605 - BALAJI (A) KRISHNAMURTHY (Chief Financial Officer) has made 2 purchases buying 22,453 shares for an estimated $1,599,779 and 0 sales. - TONY WEST (See Remarks) has made 0 purchases and 4 sales selling
Apr 16, 2026 · via quiverquant.com