Tesla, Inc. stock (US88160R1014): Is autonomous driving execution now the real test for investors? 18.04.2026 - 12:38:35 | ad-hoc-news.deTesla, Inc. stock (US88160R1014) stands at a crossroads where its leadership in electric vehicles meets the high-stakes bet on autonomous technology. You as an investor in the United States or English-speaking markets worldwide need to weigh if Tesla's pivot to software-driven revenue from Full Self-Driving (FSD) and robotaxis can sustain its premium valuation amid intensifying competition. The company's ability to scale these technologies profitably will determine if shares reward patience or expose you to execution risks. Updated: 18.04.2026 By Elena Harper, Senior Markets Editor – Examining how innovation cycles shape long-term stock value for U.S. and global investors. Tesla's Core Business Model: Vehicles to Software Shift Tesla's business model revolves around premium electric vehicles, energy storage, and emerging software services, creating multiple revenue streams that differentiate it from traditional automakers. You benefit from this vertical integration, where Tesla controls battery production, software updates, and direct sales, avoiding dealer markups common in the industry. This approach has built a loyal customer base, with over-the-air updates enhancing vehicle value post-purchase. The real transformation lies in recurring revenue from Full Self-Driving subscriptions and potential robotaxi networks, which could shift Tesla from a car company to a high-margin AI platform. Energy products like Powerwall and Megapack provide stable growth, less tied to auto cycles, appealing to you as a diversified investor. However, scaling manufacturing remains key to funding these ambitions without diluting shareholder value. For U.S. investors, this model matters because Tesla's U.S. factories in Texas and California drive domestic production, qualifying for federal incentives like the Inflation Reduction Act credits. English-speaking markets worldwide see similar appeal through exports and localized energy solutions, but currency fluctuations add a layer of exposure you must monitor. Official source
Apr 18, 2026 · via ad-hoc-news.de
The Dutch Tesla owner who launched a collective claim against Tesla over FSD on HW3 cars called Tesla to ask about the €6,400 he paid for “Full Self-Driving” in 2019. After 7 years of waiting, Tesla’s answer was to “just be patient.” It’s an almost comically tone-deaf response that perfectly encapsulates Tesla’s approach to the HW3 problem — and it’s only going to fuel the growing legal pressure in Europe. What Tesla told an HW3 owner on the phone Mischa Sigtermans, the Dutch Model 3 owner who launched the HW3 collective claim site we reported on earlier this week, called Tesla today and recorded the entire conversation. He posted the details in a thread on X. Sigtermans paid €6,400 for FSD when he bought one of the first Model 3s in the Netherlands in 2019. Last week, the Dutch vehicle authority RDW granted Tesla type approval for FSD Supervised — the first in the EU. But the approved build only runs on Tesla’s newer AI4 computer. HW3 cars like his get nothing. So he called Tesla. His first question: when does FSD come to HW3 cars? Tesla’s answer: “No information about when it comes, or if it comes at all.” Not when. If. Sigtermans then asked what exactly he paid for. Tesla told him he paid for “the full self-drive capability.” As he pointed out, that’s what’s on his 2019 invoice — “capability.” Not “supervised.” Not “lite.” The full capability. When he brought up Musk’s admission that HW3 isn’t enough for unsupervised FSD, Tesla said it had “no information about this.” When he asked about the promised free hardware upgrade, Tesla said there was “no information within Europe.” When he asked how Tesla plans to handle all the Europeans who bought FSD on HW3, Tesla said: “We share whatever information
Apr 18, 2026 · via electrek.co
'Tesla owes me': Furious European Model 3 owners demand Full Self-Driving refund — as Tesla faces $14.5 billion in mounting lawsuits across the globe When you buy through links on our articles, Future and its syndication partners may earn a commission. Full Self-Driving was recently legalized in the Netherlands Furious Dutch Model 3 owner feels many are being left behind Thousands of participants have joined a growing petition against Tesla There is mounting pressure on Tesla to compensate buyers after a dutch Model 3 owner took to X to vent his anger at the company for failing to recognize those customers that had already paid for Full Self-Driving (FSD), but can’t use it due to owning older hardware. Mischa Sigtermans, a self-confessed owner of one of the first Model 3 vehicles in the Netherlands, says he paid for Full Self-Driving back in 2019, when Tesla was prepared to take €6,800 (around $7,500) of his money on the promise that highly autonomous driving technology would be available at some point in the near future. “I waited 7 years. SEVEN years!” the angry owner wrote on X, followed by a link to a petition he has started that is attempting to file a collective claim against Tesla. Tesla owes me €6.800.And if you're a HW3 + FSD owner, they owe you too.2019. One of the first Model 3 owners in the Netherlands. Paid for Full Self-Driving.The promise: same hardware, software updates will unlock full autonomy. Just wait.I waited 7 years. SEVEN years!… pic.twitter.com/zpFW8MUdWp — @mischamartijn (April 14, 2026) Back in 2019, when Sigtermans purchased the Model 3, Tesla publicly advertised that “every Tesla is equipped with the hardware needed in the future to make the vehicle fully self-driving in almost all circumstances”. Seven years later and, despite the technology finally being approved
Apr 18, 2026 · via autos.yahoo.com
Chinese lidar manufacturer Hesai Technology has introduced a new generation of lidar sensor capable of detecting color, marking a significant advancement in autonomous driving technology. The innovation is designed to improve the accuracy and safety of self-driving systems by enabling vehicles to better interpret their surroundings beyond traditional distance and shape detection. The newly launched sensor, known as the EXT lidar, integrates both spatial and color detection into a single device, making it the first of its kind in the industry. Powered by Hesai’s proprietary Picasso chip, the system allows vehicles to distinguish visual elements such as traffic light colors, which can significantly enhance decision-making in real-world driving scenarios. According to the company, the product is expected to enter mass production later this year, with plans for integration into flagship vehicles by 2027. This development aligns with a broader shift in the automotive industry toward value-driven innovation, where companies are focusing on improving performance and safety rather than just reducing costs. Hesai continues to maintain a strong position in the global lidar market, supplying its technology to major electric vehicle manufacturers such as BYD, Xiaomi, and Li Auto. The company accounted for more than 40% of China’s lidar market in 2025 and collaborates internationally, including supplying lidar systems for platforms used by automakers like Mercedes-Benz. Despite these advancements, lidar adoption remains relatively limited globally, with the technology present in only 3% of vehicles as of 2025. Some automakers, including Tesla, continue to favor camera-based systems over lidar. However, industry experts believe that innovations such as color-detecting sensors could accelerate adoption by addressing key limitations and improving overall system reliability.
Apr 18, 2026 · via cxodigitalpulse.com
There’s an old saw in management: What you measure matters. And, typically, you get more of whatever you’re measuring. Software engineers have debated productivity metrics for decades, starting with lines of code. But as the new generation of AI coding agents delivers more code than ever, what their managers ought to be measuring is less clear. Enormous token budgets — essentially, the amount of AI processing power a developer is authorized to consume — have become a badge of honor among Silicon Valley developers, but that’s a very weird way to think about productivity. Measuring an input to the process makes little sense when you presumably care more about the output. It might make sense if you’re trying to encourage more AI adoption (or selling tokens), but not if you’re trying to become more efficient. Consider the evidence from a new class of companies operating in the “developer productivity insight” space. They’re finding that developers using tools like Claude Code, Cursor, and Codex generate a lot more accepted code than they did before. But they also find that engineers have to return to revise that accepted code far more often than before, undercutting claims of increased productivity. Alex Circei, the CEO and founder of Waydev, is building an intelligence layer to track these dynamics; his firm works with 50 different customers that employ more than 10,000 software engineers. (Circei has contributed to TechCrunch in the past, but this reporter had never met him before.) He says that engineering managers are seeing code acceptance rates of 80% to 90% — meaning the share of AI-generated code that developers approve and keep — but they’re missing the churn that happens when engineers have to revise that code in the following weeks, which drives the real-world acceptance rate down between 10% and 30%
Apr 18, 2026 · via techcrunch.com
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Apr 18, 2026 · via sfchronicle.com
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 tennessean.com
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Apr 18, 2026 · via sfgate.com
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