Robotaxi industry gears up for mass production China's robotaxi industry is rapidly pivoting from small-scale pilot programs to mass-produced commercial fleets, as major automakers and ride-hailing platforms reveal timelines for custom-built autonomous vehicles. SAIC Motor's mobility arm revealed plans last week for a mass-produced robotaxi scheduled to launch in 2027. The vehicle will be built on an IM Motors electric platform and powered by Momenta's autonomous driving system, as reported by local media. XPeng completed its first internal robotaxi ride by CEO He Xiaopeng earlier in July, just eight months after announcing the project in November 2025. During the company's first-quarter earnings call, He revealed that the GX fleet, which is equipped with multiple backup systems to enhance safety and reliability, has been conducting limited public road Level-4 testing in Guangzhou, Guangdong province. It plans to launch a robotaxi pilot service in the city in the third quarter of 2026. Geely-backed Cao Cao Mobility laid out a more aggressive expansion blueprint in June with the launch of its RoboX strategy. The company revealed the Eva Cab, a custom robotaxi built on Geely's SEA architecture that integrates in-house hardware, self-driving algorithms and fleet-dispatching systems. Cao Cao aims to deploy 100,000 robotaxis and 100,000 autonomous delivery vans across China by 2030. The push for ready-made robotaxi models represents a critical upgrade from the industry's earlier retrofit approach. Industry analysts note that integrating autonomous systems on assembly lines demands strict automotive-grade reliability, functional safety and cybersecurity compliance; standards more rigorous than those applied to retrofitted test vehicles. Dedicated L4 players including Baidu Apollo, Pony.ai and WeRide have long dominated China's robotaxi trial landscape. Their sensor-rich autonomous vehicles have accumulated millions of kilometers of road data and are operating commercial paid services across multiple Chinese cities. Recent operational metrics underscore their growing commercial footprint.
Jul 27, 2026 · via chinadaily.com.cn
IIHS Claims Waymos Are Safer Than Human Drivers If You Squint Real Hard While Reading The Data Waymo robotaxis are either extremely dangerous or a "public health breakthrough," depending on who you ask. The Insurance Institute for Highway Safety has come out in favor of Waymo, declaring that its driverless cars crash less often than people. However, IIHS also freely admits having performed some statistical gymnastics to come to that conclusion, since the data to perform a direct comparison is hard to come by. It's easy to find data about crashes involving human drivers, but it's far more difficult to find comparable data for autonomous vehicles. While California has required autonomous crash reporting since 2014, and NHTSA has required the same reporting since 2021, the standards are different from those for humans. An important statistic in determining crash rates is total vehicle miles traveled. The Department of Transportation's report on Traffic Volume Trends lists annual vehicle miles traveled, going all the way back to 2000. Such mileage reporting is not required for autonomous vehicles, making it impossible to calculate a rate of crashes per mile traveled across the industry. Waymo voluntarily shares this data publicly, but other companies don't. That's why the IIHS study focuses on Waymo rather than Tesla, Zoox, or any other robotaxi company. Lies, damned lies, and statistics One of the biggest problems with this claim is the size of the various data sets. IIHS had to do a great deal of work to "clean up" the data on autonomous vehicles from 2021 to 2024 before any comparison was even possible. That meant eliminating duplicate records, as well as "situations in which the automation wasn't engaged, the vehicle wasn't on a public road, or no real crash took place." Then it applied similar standards for reporting crashes
Jul 26, 2026 · via jalopnik.com
Waymo and Uber Face a Robotaxi Split in Austin and Atlanta Waymo is preparing to offer robotaxi rides through its own app in Austin and Atlanta from January 2028, while its existing Uber deployment is expected to continue during the initial transition. Uber confirmed the planned parallel launch to TechCrunch after the Financial Times reported that Waymo was exploring an exit from the partnership in those markets. The announcement does not establish an immediate breakup or a final end date for Uber’s role. It confirms a shift from an Uber-only distribution model toward two customer-access channels, with the companies’ current contract for Austin and Atlanta reported to run until May 2028. That overlap could reshape how riders book autonomous trips and how Uber approaches partnerships with other autonomous-vehicle companies. What Waymo and Uber have confirmed so far The clearest confirmed point is Waymo’s plan to add a direct booking channel. Uber told TechCrunch that Waymo had notified it of plans to offer robotaxis on the Waymo app in Austin and Atlanta beginning in January 2028, alongside the existing offering on Uber. The report describes the wider partnership as under pressure, but it does not prove that every part of the commercial relationship will end in January. The distinction matters: a direct Waymo app can launch while Uber continues to provide access, dispatching, fleet services, or other functions under the existing arrangement. The original structure was announced in September 2024. In its official partnership announcement, Waymo said Uber would manage and dispatch a fleet of fully autonomous, all-electric Jaguar I-PACE vehicles in Austin and Atlanta, while Waymo would remain responsible for testing and operating the Waymo Driver. Uber’s contemporaneous release described the service as available only through the Uber app at launch and said Uber would provide fleet management, including cleaning,
Jul 26, 2026 · via quasa.io
Waymo Valuation Debate: Social media discussions have intensified around Waymo's recent $126 billion valuation, prompting comparisons to Uber's overall market capitalization. Participants note the stark differences in revenue scale and operational reach between the two entities. They emphasize how Uber's established global network continues to drive substantial bookings despite emerging autonomous technologies. Autonomous Vehicle Risks: Concerns are mounting over whether Uber's marketplace model could face pressure if companies like Tesla or Google integrate their own autonomous fleets directly. Analysts on these platforms point out that distribution advantages may diminish as vehicle ownership shifts away from third-party drivers. This has led to debates on long-term margin sustainability in a robotaxi-dominated landscape. Value Assessment Views: Some observers highlight Uber's current multiples as attractive relative to growth in free cash flow and earnings. They reference expanding operating margins and low capital expenditure needs as supportive factors. Overall, the conversation reflects a cautious stance amid these structural uncertainties. 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 3 times in the past 6 months. Of those trades, 2 have been purchases and 1 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. To track insider transactions, check out Quiver Quantitative's insider trading dashboard. You can access data on insider stock transactions through the Quiver Quantitative API insider transaction endpoint. Uber Technologies Revenue Uber Technologies had revenues of $13.2B in Q1 2026. This is an increase of 14.48% from
Jul 26, 2026 · via quiverquant.com
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Jul 26, 2026 · via youtube.com
Since Waymo arrived on the public stage as Google's self-titled autonomous-driving project almost 20 years ago, the promise that self-driving cars would dramatically curtail crashes has remained just that. A handful of companies operate autonomous ride-hailing services in some cities (San Francisco is downright lousy with autonomous cars), but high-profile mishaps show how elusive real progress is. Yet Waymo may be heading in the right direction, according to the Insurance Institute for Highway Safety. The nonprofit organization backed by the insurance industry and known for very thorough crash tests recently took a look at Waymo's safety record. In a study published this week, researchers found that Waymo vehicles are involved in fewer crashes than human drivers per vehicle mile traveled (VMT). That's based on an analysis of crash rates in the cities where Waymo currently operates—San Francisco, Phoenix, Los Angeles, and Austin—using available data. And the limitations of those data are the real takeaway. Waymo vehicles traveled about 50 million miles autonomously during the period studied, compared to about 222 billion miles for human drivers in the same locations, over the same timespan. The overall rate of crashes for the Waymo vehicles was 68% lower per VMT than human drivers, and that mostly held up on a city-by-city basis. The crash rate for Waymo self-driving cars was 76% lower in Phoenix, 35% lower in San Francisco, and 71% lower in Los Angeles. The Waymo fleet had 4% higher crashes in Austin than human drivers, but the sample size was relatively small. And Waymo cars were involved in 85% fewer single-vehicle crashes and 81% fewer crashes resulting in injuries per VMT than human drivers overall. But as the IIHS explains in an accompanying press release, getting any meaningful comparison between human and autonomous driving wasn't easy. While companies are required to
Jul 26, 2026 · via autos.yahoo.com
S&P 500 nears record high despite tech sell-off; Tesla drops 18% after profit miss
The S&P 500 remains close to its all-time high, down only 2.7% despite recent declines. Last week, energy and commodities stocks led gains, while tech and growth stocks, including Tesla, faced heavy selling pressure. Tesla's shares fell 18% after its...
Jul 26, 2026 · via pluang.com
ICYMI: Ford ratifies Canadian labor deal and expands Windsor investment to $499 million. Used-vehicle prices ease as supply climbs to 47 days. U.S. and Mexico resume USMCA talks as Trump escalates trade pressure on Canada. Senate panel advances bill to ban Chinese vehicle tech. CBT News opens nominations for its 2026 40 Under 40 Award. Here’s a closer look at these top stories and more headlines to stay on top of this week’s automotive industry news. Ford ratifies Canadian labor deal, expands Windsor investment to $499 million Ford and Unifor have ratified a new three-year labor agreement for approximately 5,000 Canadian employees, which includes a 9% wage increase over the three years. Eligible full-time workers will receive about $7,130 (C$10,000) as a ratification bonus, while eligible temporary employees will receive about $1,430 (C$2,000). Read More Used-vehicle prices ease as supply climbs to 47 days Used-vehicle supply is loosening on both the retail and wholesale sides, and prices are pulling back from earlier gains. Cox Automotive’s June retail data shows inventory rising as sales slow, while Manheim’s mid-July wholesale index shows values easing for the first time in months. Dealers held 2.14 million used vehicles in June, up 1% from May, according to Cox Automotive’s analysis of vAuto Live Market View data. Read More GM’s core earnings jump 30%, pushing 2026 guidance higher again General Motors (GM) raised its full-year 2026 guidance for the second time this year, even as a major EV-related charge pulled net income down in the second quarter. The results point to a stronger core business than the headline profit number suggests, and dealers should pay attention to both sides of the story. While GM reported Q2 revenue of $48 billion, up 1.9% from a year ago, net income attributable to stockholders fell to $1.3 billion, down
Jul 25, 2026 · via cbtnews.com
As autonomous ride-hailing expands across the U.S. with Tela’s Robotaxi service and Alphabet’s Waymo, traditional gig platforms are working to protect their turf. Rather than focusing solely on vehicle development, legacy ride-hailing networks are turning toward legislative channels to keep driverless fleets tied to their existing apps. According to a report from the Financial Times, Uber has been actively lobbying state and federal policymakers to enforce mandatory hybrid networks, where human drivers and autonomous vehicles operate on the same platform. The Push for 85% Human Drivers in New Jersey In New Jersey, state lawmakers are evaluating a three-year pilot program designed to establish an official regulatory framework for testing and deploying driverless vehicles. However, Uber lobbyists are proposing a major add-on to the legislation: requiring any platform offering robotaxi services to have human drivers handle at least 85% of all rides during the pilot program. If adopted, this rule would force companies like Tesla and Waymo that already have dedicated autonomous rideshare apps to route their rides through Uber and similar third-party platforms that maintain large human driver pools. For Tesla, this proposal comes on top of existing hurdles in the legislation that would essentially ban its Robotaxi vehicles from New Jersey unless it adds more sensors to them. In its current form, the draft requires commercial driverless vehicles to be equipped with at least two distinct sensor modalities (like LiDAR and radar) alongside cameras, effectively ruling out Tesla’s camera-only. Beyond sensor demands, the bill requires operators to: - Complete 50,000 miles of supervised in-state testing with a human safety driver. - Submit complete safety certifications, proof of insurance, and law enforcement interaction plans. - Report all vehicle collisions directly to the New Jersey Department of Transportation within five days. Tacking on a requirement to operate exclusively on a hybrid
Jul 25, 2026 · via notateslaapp.com
Waymo’s autonomous electric taxis crash 68% less than the average human driver, according to the Insurance Institute for Highway Safety, with lower-severity crashes on average as well. But there are some important caveats that limit the data. In recent years, we’ve seen a proliferation of companies offering autonomous taxi services with “level 4” automation – the ability to operate with no driver in the car, at least in a limited (geofenced) area. The leader among these services has been Waymo, a subsidiary of Google’s Alphabet, Inc. It now offers autonomous ride-hailing services in 11 US cities, covering a total area larger than a US state (okay, that state is Rhode Island… well, it’s a start). It has provided tens of millions of trips so far, which gives us an opportunity to examine the data and see how well these robots can actually drive. And it turns out… they’re pretty good. With some caveats. IIHS finds Waymo 68% safer than an *average* human The Insurance Institute for Highway Safety, famous for its “Top Safety Pick” crash safety recommendations, examined federal crash reporting data for various robotaxi services from 2021-2024. It focused on Waymo, because while others are in the data set, Cruise stopped operations in 2023 and Zoox only began offering public rides in 2025. Tesla, also, is not reflected in the 2021-2024 data set, as it only began offering its Austin “robotaxi” in 2025 (with drivers in the car at the time), and has only racked up 380,000 total unsupervised miles as of this week. After cleaning up the data of redundancies and determining severity of crashes, the IIHS said that Waymo resulted in 68% fewer crashes severe enough that the average person would report them to the police, over a sample of 50 million miles driven autonomously by Waymos
Jul 25, 2026 · via electrek.co
Gasgoo Munich- Tesla released its second-quarter 2026 earnings on July 23. Bolstered by global deliveries of over 480,000 vehicles, the automaker posted its best-ever performance for the period, up 25% from a year earlier. Total revenue climbed 26% to $28.2 billion, pushing trailing 12-month revenue past the $100 billion mark for the first time. Shanghai Gigafactory delivered more than 89,000 vehicles in June and nearly 468,000 in the first half — a 28.4% annual surge — providing a strong foundation for the results. Image source: Tesla Profit margins felt the squeeze, with operating profit slipping to $398 million year-over-year. The decline stems largely from Tesla pouring resources into next-generation AI infrastructure and forward-looking manufacturing capabilities. Research and development spending hit $2.37 billion, while capital expenditure soared to $5.79 billion — jumping 49% and 142%, respectively. Free cash flow briefly turned negative as the company doubled the size of its Texas computing cluster, expanded the Cortex 2 data center, and moved in parallel on dedicated production lines for humanoid robots and the Cybercab autonomous vehicle. "We are massively expanding manufacturing capacity for advanced infrastructure — this will be the largest build-out in history," Elon Musk told analysts on the earnings call. These investments are viewed as the critical pivot point in Tesla's shift from automaker to AI technology company. Image source: Tesla New business lines are gaining traction. Paid users of Tesla's driver-assistance software reached 1.48 million, with adoption rates in North America hitting a record high — more than half of new vehicles are delivered with the service subscribed. In the U.S. and South Korea, older models equipped with AI3 hardware began receiving the v14 lite update, bringing driving behavior and safety closer to the latest standard. The Robotaxi service, operating without safety drivers, has expanded to seven U.S. cities,
Jul 25, 2026 · via autonews.gasgoo.com
Some self-driving car systems have trouble detecting darker skin, study says Last year, Microsoft, IBM, and Amazon were called out for using facial recognition technology that was biased against people with dark skin. Well, it looks like self-driving cars could have the same problem. An analysis from Georgia Tech researchers found that systems used by self-driving cars to detect pedestrians had trouble picking out people with darker skin tones. Looking at footage from the Berkeley Driving Dataset, with video from New York, Berkeley, San Francisco, and San Jose, researchers were able to study how systems would react to different types of pedestrians. They took eight image recognition systems commonly used in autonomous vehicles and evaluated how each picked up skin tone, as measured on the Fitzpatrick skin type scale. They found "uniformly poorer performance of these systems when detecting pedestrians with Fitzpatrick skin types between 4 and 6," which are darker skin types. There are several factors that could lead to inaccurate results, like time of day or clothing color. But they found that solely based on skin color, accuracy dropped an average of 5 percent for pedestrians with darker skin. If a system doesn't identify a person as a pedestrian, they're more at risk of being hit because the computer doesn't know to predict their behavior. Many autonomous cars use a mix of LiDAR, radar, other sensors, and cameras. A few autonomous vehicle companies rely heavily on cameras, like Tesla's semi-autonomous Autopilot system. Silicon Valley-based company Ambarella is developing a self-driving system that relies almost entirely on cameras. Not all companies use cameras, though. Blackmore is focused on Doppler LiDAR, so clothing choices and skin tone don't matter. Instead, it measures the velocity of objects, concentrating on things that are moving, instead of stationary objects like trees and mailboxes.
Jul 25, 2026 · via mashable.com
Gasgoo Munich- At the 2026 China Auto Forum Technology Leaders Summit, Lu You addressed the industry's most persistent headaches. Lu You is general manager of products and markets at neueHCT. Despite being a joint venture founded just two years ago, the company addresses a sector caught in a blind race for computing power. Internal combustion engine (ICE) vehicles struggle to adopt affordable city-driving assist systems. Domestic autonomous driving tech often stumbles abroad due to unfamiliar road conditions and driving habits. Leveraging Horizon Robotics chips, neueHCT proposes a path forward. It involves tiered products paired with physical AI end-to-end algorithms. These algorithms balance cost, compatibility, and global adaptability. An arms race in computing power is clearly underway. Premium models pack chips ranging from 2,000 to 3,000 TOPS, yet vehicle costs keep climbing. Lu You stated that neueHCT rejects unchecked hardware stacking. Instead, the company plans hardware in tiers based on model positioning. The lineup includes an entry-level solution around 10 TOPS. It also features a mid-to-high-tier system backed by the J6M chip offering 100-plus TOPS. A next-generation cockpit-driving integrated chip will roll out in stages. This approach balances functional needs with manufacturing costs. The team is focusing heavily on the J6M platform. It uses a one-stage end-to-end physical AI algorithm. This delivers safety and smoothness comparable to 200-to-300 TOPS systems, offsetting the hardware gap through software optimization. Image source: 2026 China Auto Forum ICE vehicles have long been constrained by thermal and hardware architecture limitations. They often require expensive retrofits to support advanced city-driving features. neueHCT's solution, however, uses a single-fan hardware structure. It fits ICE vehicles without extra cost. It delivers consistent performance across both gasoline and electric models. The algorithm moves beyond rigid rules to understand road logic. This allows for flexible judgment at obscured crosswalks and irregular intersections.
Jul 25, 2026 · via autonews.gasgoo.com
Gasgoo Munich- The 2026 China Automotive Forum Technology Leader Summit convened successfully. Peng Xueming, senior chief engineer at Desay SV, dissected the industry's growing pains as new L3 autonomous driving regulations take effect. His diagnosis: split-architecture systems carry steep compliance costs down the line, while low-cost hardware struggles to sustain long-term OTA updates. Too many players, he argued, prioritize short-term feature launches while overlooking the hidden costs of a vehicle's ten-year lifecycle. Drawing on industry trends, he outlined a strategy centered on a unified central computing platform. Image Source: 2026 China Automotive Forum The competitive landscape has shifted fundamentally now that China's mandatory national standards for L3 autonomous driving have taken effect. The new regulations do more than expand testing requirements; they clearly define safety responsibilities across the entire autonomous driving chain, demanding a traceable system spanning R&D, verification, production, and after-sales. Peng predicts that the old model of rushing to market with cheap hardware is unsustainable. The battleground has moved to a platform's long-term ability to iterate. The next five years, he suggests, will be the critical window for companies to cement their standing in high-level autonomous driving. Currently, a vast number of models rely on a split "big and small brain" architecture. While this approach offers lower upfront costs, it accumulates significant technical debt in compliance and iteration over time. If a vehicle needs to upgrade from L3 to L4 later, companies must reinvest resources across the board—development, verification, and OTA. In contrast, a unified, dual high-compute central brain can share a single software and verification stack, enabling a smooth transition from L3 to L4 and avoiding redundant spending. Simultaneously, the industry is moving beyond the limits of traditional rule-based algorithms to fully embrace an AI-native path, relying on massive computing power to help large models navigate complex
Jul 25, 2026 · via autonews.gasgoo.com
Award Category: China Automotive New Supply Chain Top 100 Field: ADAS/AD Technology: All-Condition Camera Perception Solution Innovation: AUMOVIO's all-condition satellite camera solution integrates rapid defrosting (achieving full clarity from –20°C in six minutes), gas-liquid lens cleaning, and AI-driven low-light image enhancement. This ensures reliable autonomous driving availability in any environment while delivering optimal cost performance. Technical Description: Heating: AUMOVIO's cost-effective heating solution completes de-icing within six minutes and delivers significant cost savings compared to traditional heating methods. Cleaning: Using fixed-nozzle gas-liquid cleaning, the system cleans the camera lens in 200 milliseconds. Compared to retractable nozzle systems, this significantly boosts the operational uptime of autonomous driving systems. Night Vision Solution: A data-driven, scene-adaptive software image enhancement approach improves camera imaging performance at night. Even in harsh winter conditions down to –20°C, AUMOVIO's all-condition camera system operates reliably. Drawing on deep insights into real-world usage, the vehicle can preheat the camera system before the driver arrives, ensuring full perception capability immediately upon entry. While driving, the system maintains lens cleanliness and image clarity. It guarantees stable autonomous driving operation in low temperatures, ice, snow, and complex environments, delivering a consistent experience of safety and convenience. The Gasgoo Awards were initiated by Gasgoo Automotive to continuously spotlight the innovative power of China's new automotive supply chain. Focusing on core technology fields, the awards identify outstanding enterprises and frontier achievements to drive industrial innovation. Building on years of industry research, Gasgoo has simultaneously launched the "China Automotive Industry Innovation Case Library". This initiative systematically documents innovation practices in China's automotive supply chain, unearthing corporate technical capabilities and industrial value. Looking ahead, the case library aims to "bring Chinese solutions to the world," helping Chinese automotive technologies and excellent enterprises enter international markets and promoting global industry exchange and cooperation.
Jul 25, 2026 · via autonews.gasgoo.com
- New Zealand - / - Machinery - / - NZSE:SCT Uber Stock Shock Puts 3 Autonomous Vehicle Shares On Retail Investors’ Radar Waymo’s potential split from Uber has thrown a fresh spotlight on autonomous vehicles and advanced mobility, with one news event suddenly reshaping how investors think about robotaxis, ride hailing, and the companies that support them. A 4% move in Uber’s share price on the headlines shows how quickly sentiment can adjust when partnerships crack and competition heats up. This article looks at 3 stocks exposed to the same news story, each linked to autonomous driving or supporting technologies, and walks through why some investors may see opportunity while others might prefer to stay on the sidelines. Appen (ASX:APX) Overview: Appen is an AI lifecycle company that supplies the data sourcing, human annotation, and model evaluation work that helps train and test systems such as autonomous driving, speech recognition, and other AI applications for clients across technology, automotive, finance, retail, government, and healthcare. Operations: Appen generates about A$104.1 million from Appen China and A$127.9 million from Appen Global, with additional smaller corporate revenue, supported by customers in the United States, China, Australia, and other countries. Market Cap: A$220.2 million Appen offers direct exposure to the data behind autonomous driving, as carmakers and mobility platforms need large volumes of high quality training and evaluation data to keep improving navigation and safety. Partnerships like Waymo and Uber are coming under pressure and more players are pursuing their own technology. The company’s work on multilingual audio benchmarks with Hugging Face and its relationships with 11 auto companies in China position Appen inside many of the AI programs investors are watching, but it is still loss making and heavily tied to volatile AI project spending and a concentrated set of large tech
Jul 25, 2026 · via simplywall.st
Abstract Precise trajectory tracking holds significant importance for autonomous vehicle navigation. Conventional lateral control strategies are oriented towards eliminating yaw angle deviation. However, this study reveals that such strategies are inadequate under high-speed and high-curvature conditions, where non-zero steady-state yaw angle deviation exists. An enhanced lateral tracking strategy is put forward.Initially, a trajectory tracking error model is constructed, and a steady—state error analysis is conducted. The results demonstrate that heading angle deviation is a more superior lateral tracking index than yaw angle deviation. Subsequently, a feedforward-feedback controller utilizing heading angle deviation is designed. This controller is compared with a yaw-angle-based controller and an Active Disturbance Rejection Controller (ADRC) strategy based on global lateral displacement.Co-simulations in CarSim/Simulink for circular turning and single lane-change yield two notable contributions: 1) During lane-change maneuvers, the heading-angle-based controller reduces the peak lateral displacement error by approximately 83.3% in comparison to the yaw-angle-based controller, thereby enhancing tracking accuracy. 2) A performance mapping between controller types and path geometries is established. The ADRC strategy exhibits better performance on non-return paths, while the heading-angle-based controller guarantees reliable tracking on return paths.This research offers a theoretical foundation and a practical framework for the selection of adaptive, high-precision trajectory tracking strategies in specific driving scenarios. Acknowledgements This work was supported by the China Shandong Provincial Natural Fund Grant Program Project under grant ZR2024QE068. Funding China Shandong Provincial Natural Fund Grant Program Project under grant ZR2024QE068. Author information Authors and Affiliations Corresponding author Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium
Jul 25, 2026 · via nature.com
In an Industry First, Ford Will Use Apple Tech to Power Self-Driving Cars: ‘One of the Most Important Announcements’ For the first time, Apple Maps will affect the next generation of self-driving electric vehicles. Key Takeaways - Ford is working with Apple on a new line of electric vehicles. - The automaker is taking the unprecedented step of letting Apple’s software control how electric vehicles operate when they are driving themselves. - The new software will be built into the vehicle, so drivers won’t need an iPhone to use it. Ford is betting on Apple software to shape its autonomous future. The $56 billion automaker said this week that it would use Apple software to power driver-assistance systems in its new line of electric vehicles to be released next year. According to The New York Times, the move puts Apple center stage in Ford cars, giving the iPhone maker an unprecedented, essential role in car operations. Apple CarPlay, which operates in more than 800 car models from major brands like Toyota, Ford and Chevrolet, enables drivers to link their iPhones with their vehicle screens, unlocking functions like Apple Maps. Ford is taking things one step further by letting Apple’s software help control how electric vehicles operate when they are driving themselves, per the Times. For the first time, Apple and Ford engineers are collaborating directly to improve self-driving features in cars set to reach dealerships next year. In the past, Apple worked independently from automakers. Engineers will build the new software into the vehicle, so drivers won’t need an iPhone to use it. “Apple Maps will be embedded in the vehicle, so you don’t have to pay anything extra,” Ford’s CEO Jim Farley said in an interview with the Times. “This is one of the most important announcements for Ford.”
Jul 25, 2026 · via entrepreneur.com
US Navy validates counter unmanned submarine tech in Lanternfish 2026 exercise Ultra Maritime and Anduril demonstrated undersea autonomous threat detection, tracking and classification in the exercise. Read Next: US neighbour could gain domestic engine overhaul capability for future fightersUltra Maritime demonstrated a counter-unmanned underwater vehicle (C-UUV) capability during the US Navy’s Lanternfish 2026 exercise. The demonstration served as a proof of concept for the company`s Sea Sphere deployable sonar system. The sonar was able to detect and classify autonomous undersea threats in a realistic port protection mission setting. Operationally unmanned underwater vehicles (UUVs) have grown in relevance across multiple navies worldwide. They can conduct surveillance, mine-laying, and infrastructure reconnaissance with minimal crew risk. Countering them requires passive and active acoustic sensing, signal processing, and rapid classification. What happened at Lanternfish 2026 Lanternfish is a multilateral naval exercise focussesing on critical undersea infrastructure protection and emerging autonomous vehicle threats. During the exercise, Sea Spear consistently detected, tracked and classified medium- and large-diameter UUVs. The demonstration validated the systems’ ability to provide persistent acoustic sensing while transmitting track data to undersea command centers worldwide. When integrated with Anduril’s Seabed Sentry, Sea Spear forms part of a distributed autonomous undersea network built for rapid deployment and scalable production. The system can be discreetly deployed from both crewed and uncrewed platforms, delivering persistent underwater sensing across remote regions, maritime choke points, and strategically significant waterways. Sea Spear is configurable as either a permanent installation or an attritable asset. More from Military See AllThe technical problem C-UUV systems must solve Detecting a UUV is fundamentally different from detecting a crewed submarine. UUVs run quieter, operate at varied depths, and can be programmed for evasive behavior. Acoustic signatures are weaker and harder to classify against background ocean noise. A C-UUV system must differentiate between a threat
Jul 25, 2026 · via interestingengineering.com
Automotive software, electronics market to reach $519 bn by 2035, outpace vehicle market growth: McKinsey New Delhi [India], July 25 (ANI): The global automotive software and electronics market is projected to grow to USD 519 billion by 2035, expanding at a compound annual growth rate (CAGR) of 4.5 per cent - more than four times faster than the overall vehicle market - as software-defined vehicles, artificial intelligence (AI) and advanced driver assistance systems (ADAS) reshape the industry, according to a McKinsey report. The report titled 'The Automotive Software and Electronics Market Through 2035' said that while the global vehicle market is expected to grow by only around 1 per cent annually, the software and electronics segment will see much stronger expansion as automakers increasingly differentiate vehicles through software, connectivity and AI-enabled features. 'In contrast to the overall vehicle market, which is growing by around 1.0 percent CAGR annually, the global automotive software and electronics market could grow by 4.5 percent CAGR and reach $519 billion by 2035,' the report said. McKinsey said the industry is transitioning towards software-defined vehicles (SDVs) supported by zonal and central computing architectures, enabling over-the-air software updates, enhanced connectivity and generative AI integration. According to the report, 'software, electronics, and gen AI have emerged as critical enablers of innovation, transforming vehicle development and customer experience and business models for OEMs and suppliers.' The report noted that although expectations for fully autonomous vehicles have moderated because of delays in Level 3 and Level 4 deployment, investment has shifted toward near-term opportunities such as ADAS and connected services. McKinsey estimates that by 2035, vehicles equipped with Level 2 and higher driver assistance and autonomous driving capabilities could account for nearly 70 per cent of global vehicle sales, with Level 2 vehicles alone making up 52 per cent of
Jul 25, 2026 · via bignewsnetwork.com