In autonomous and self-driving vehicle news are Uber, Torc, STRADVISION, Elektrobit, Mobileye, Waymo, Harbinger, Phantom AI, Robo.ai, Chinasky Car Trading FZE, Tier IV, BrainChip, Raytheon, Aeva and Tesla.
Uber Launches Autonomous Solutions Venture to Accelerate Robotaxi Commercialization
Uber has established Uber Autonomous Solutions to provide essential infrastructure for autonomous vehicle providers aiming to commercialize robotaxi technology. The new unit offers a comprehensive suite of services including specialized insurance, roadside assistance, and AV mission control software for real-time fleet monitoring. Led by Sarfraz Maredia, the initiative also includes a fleet financing solution designed to help partners fund and deploy autonomous vehicles directly on the Uber network.
The company aims to solve the commercialization challenges facing the industry by positioning itself as the primary marketplace and service layer for self-driving technology. Uber has secured more than a dozen partnerships with developers such as Waymo and Baidu and has made significant investments in startups like Wayve and Waabi. The strategy involves deploying these technologies across fifteen global cities, including London and Los Angeles, by the end of 2026 to ensure widespread availability of autonomous mobility.
In addition to operational support, Uber Autonomous Solutions provides mapping data and collection services to assist in training the artificial intelligence models that power self-driving fleets. This data-driven approach leverages Uber’s existing AV Lab to gather information from specially equipped vehicles currently operating on its platform. By offering these data labeling and training services, Uber seeks to diversify its revenue streams while embedding its technology and operational standards into the emerging autonomous vehicle ecosystem.
Torc Expands Autonomous Truck Testing To Michigan Public Roads
Torc has expanded its autonomous truck testing operations to public roads in Michigan, utilizing the latest-generation Daimler Truck autonomous chassis integrated with the Freightliner Cascadia. This expansion follows the establishment of an engineering center in Ann Arbor and supplements existing test sites in Texas and Virginia. The initiative focuses on validating AI inference models and hardware-software performance across diverse seasonal conditions and environmental variables. By deploying trucks on Michigan roadways, Torc aims to refine its autonomous stack through real-world data collection, strengthening simulation accuracy for long-haul freight applications.
The project is supported by partnerships with the Michigan Economic Development Corporation and the Michigan Department of Transportation to advance next-generation mobility and connected vehicle technologies. Torc is leveraging the Michigan expansion to scale its engineering presence, specifically targeting recruitment in artificial intelligence and machine learning. As the company moves toward commercialization, the integration of the Daimler autonomous chassis serves as a critical platform for testing redundant systems and vehicle-to-everything capabilities required for safe driverless operations in the logistics sector.
 STRADVISION announced that its SVNet software has reached nearly 5 million cumulative units in commercial production. This milestone follows the 2025 fiscal year which saw rapid scaling across global vehicle programs and high-volume production for automotive partners. The success is built on mass-market momentum, scalable execution, and the adoption of SVNet as the core perception engine for software-defined vehicles.
SVNet utilizes an ultra-lightweight and high-performance AI architecture optimized for cost-constrained and power-constrained automotive SoCs. This design enables real-time perception with minimal computational overhead across a wide range of automotive platforms. The software is engineered to provide robust performance while maintaining the high efficiency required by the current automotive ecosystem.
The company plans to launch SVNet MultiVision Gen 2 in 2027 to support autonomy ranging from Level 2 to Level 4. This next-generation platform features HD-mapless operation, expanded camera coverage, and support for next-generation AI models. STRADVISION continues to strengthen its position as a long-term perception technology partner for the global automotive market.
Elektrobit And Mobileye Integrate Linux For Safety Into L4 Autonomous Platform
Elektrobit and Mobileye have announced the integration of EB corbos Linux for Safety Applications into the Mobileye Drive end-to-end Level 4 self-driving system. This partnership provides a safety-compliant, automotive-grade foundation for global OEMs and robotaxi vendors utilizing the EyeQ system-on-chip (SoC). EB corbos Linux is the first open-source operating system to receive a positive technical assessment for ASIL B and SIL2 compliance under ISO 26262 and IEC 61508 standards. By leveraging a safety element out of context (SEooC) approach, the solution enables the deployment of Linux within high-performance computing functional domains required for advanced driver-assistance systems (ADAS) and autonomous vehicle (AV) architectures.
The integration focuses on enhancing system stability and reliability for mass-market autonomous operation across ride-pooling, public transport, and goods delivery sectors. Mobileye Drive utilizes AI-driven computation and a robust safety architecture designed for integration into diverse vehicle platforms without human intervention in defined operational design domains. The shift toward open-source safety OS solutions reflects an industry move toward greater transparency, security, and development speed. This collaboration facilitates scalable field updates and provides a path for automakers to homologate complex software stacks while maintaining functional safety requirements for high-performance mobility applications.
Waymo AVs in Dallas, Houston, San Antoni & Orlando
Waymo has launched its fully autonomous ride-hailing service for public riders in Dallas, Houston, San Antonio, and Orlando, increasing its total commercial metro areas to 10. This expansion marks the first time the company has opened service in multiple cities simultaneously, inviting select users from its waitlists to begin taking rides. The company aims to scale these operations ahead of a full public opening later this year, supporting a goal of facilitating over one million rides per week by the end of 2026.
The rollout leverages Waymo’s generalizable AI and sensor suite to navigate diverse urban environments and weather conditions, from high temperatures to heavy precipitation. Backed by over 200 million fully autonomous miles, Waymo’s safety data indicates a significant reduction in injury-related crashes compared to human drivers. By partnering with local municipalities and organizations such as Downtown Dallas Inc. and Bike Houston, Waymo is integrating its driverless fleet into regional transit ecosystems, positioning the expansion as a key step toward its target of operating in more than 20 cities.
Harbinger Acquires Phantom AI To Expand Software Services
Harbinger has completed the acquisition of autonomous driving specialist Phantom AI, a move finalized in November 2025 that integrates cost-effective Level 2 autonomous solutions into the medium-duty electric and hybrid vehicle segment. This acquisition allows Harbinger to incorporate computer vision, automatic emergency braking, adaptive cruise control, and lane-keeping systems into its 2026 vehicle lineup. The integration addresses a significant gap in the medium-duty market, where such ADAS features have historically been unavailable compared to the passenger car segment.
In a parallel strategic move, Harbinger and ZF Group’s Electronics & ADAS Division have entered a licensing agreement for Phantom AI’s computer vision technology. This partnership establishes a new software services revenue stream for Harbinger while strengthening the ZF passenger car ADAS portfolio with scalable vision-based safety solutions. The Phantom AI team, led by former Tesla and Hyundai engineers, will maintain operations in Mountain View, California, focusing on the democratization of high-level autonomy and telematics for both commercial and passenger vehicle applications.
Robo.ai Acquires Majority Stake In Chinasky Car Trading FZE
Robo.ai Inc. has entered a definitive agreement to acquire a 51 percent equity interest in United Arab Emirates-based Chinasky Car Trading FZE. The acquisition leverages CCT’s established infrastructure within the Jebel Ali Free Zone to serve as a central distribution hub for Robo.ai’s intelligent hardware portfolio, including robotaxis, eVTOL aircraft, and logistics robots. This strategic integration aims to shorten market entry cycles and support the company’s broader AI software and smart asset roadmap across emerging markets in Central Asia, North Africa, and Eastern Europe.
The transaction facilitates a dual-drive manufacturing and distribution model for RoBUS, Robo.ai’s commercial vehicle joint venture. CCT, which reported fiscal year 2025 revenue exceeding AED 100 million, provides an operational network spanning 20 markets including Egypt, Kazakhstan, and Uzbekistan. Beyond vehicle distribution, Robo.ai intends to scale CCT’s operations into high-value segments such as supply chain finance, after-sales services, and automotive parts to establish a comprehensive smart asset operation platform.
Waymo Initiates Mapping And Testing For Chicago Expansion
Waymo announced the commencement of initial mapping and manual testing in Chicago to prepare for future autonomous ride-hailing operations. The expansion utilizes the AI-first Waymo Driver technology, which is designed to generalize across complex urban environments including multi-lane expressways and severe winter weather conditions. Waymo reports a safety record of 127 million fully autonomous miles, claiming up to 10x fewer serious injury collisions compared to human drivers in existing operational territories.
The deployment involves close coordination with Illinois policymakers to align autonomous technology with regional road safety and accessibility objectives. Early groundwork follows successful commercial scaling in other major U.S. markets, prioritizing high-density city streets and pedestrian-heavy corridors. This strategic entry into the Chicago market aims to establish a resilient mobility option while supporting local economic growth and the development of 21st-century transportation infrastructure.
Tier IV Joins Japan Ministry Of Defense Autonomous Security Initiative
Tier IV has entered a technical partnership with the Japan Ministry of Defense to deploy unmanned ground vehicle systems for security and patrol at Japan Ground Self-Defense Force camps. The initiative utilizes open-source autonomous driving software to reduce manual labor requirements by approximately 1,000 personnel per day. A proof of concept involving two UGVs is scheduled at JGSDF Camp Asaka through March 2027 to validate remote monitoring and operational suitability for nationwide deployment.
The technology stack integrates autonomous driving software with high-fidelity sensors and vehicle systems, supported by KDDI for 5G communications and remote operation infrastructure. Tier IV is leveraging its cross-sector experience in public transit, logistics, and mining to establish redundant safety foundations for the defense sector. The project prioritizes continuous surveillance across expansive facilities while refining UGV performance in complex real-world environments.
BrainChip Named Official Technology Sponsor For Raytheon AVC
BrainChip Holdings announced its role as the official Technology Sponsor for the 2025-2026 Raytheon Autonomous Vehicle Competition (AVC). The competition, themed Operation Touchdown, requires undergraduate engineering teams to integrate the Akida AKD1000 neuromorphic processor into a collaborative system of systems. Participating teams must develop at least one UAV and one UGV capable of fully autonomous navigation and target identification, including the autonomous landing of a UAV on a moving ground platform.
The Akida AKD1000 provides low-power Edge AI acceleration through event-based neural network inference, enabling real-time on-chip learning and adaptation. BrainChip is providing hardware and 40 hours of virtual engineering support to universities across four regions, including UT Arlington, George Mason, and Santa Barbara City College. The initiative aims to advance cognitive capabilities in power-constrained autonomous systems for defense and disaster response applications.
Aeva Selected For Global Top 5 OEM Vehicle Development Program
Aeva (Nasdaq: AEVA) has secured a vehicle development program with a top five global passenger automotive OEM to integrate its Atlas Ultra 4D LiDAR sensor into a next-generation production platform. The program focuses on refining sensor configuration and performance validation for a common global architecture shared across multiple vehicle brands. Utilizing Frequency Modulated Continuous Wave technology, the Atlas Ultra provides simultaneous range and velocity detection with a high-resolution reach of up to 500 meters. The sensor’s slim form factor is designed for seamless integration behind windshields or within bodywork, targeting SAE Level 3 and Level 4 automated driving applications.
The selection underscores an industry pivot from conventional 3D time-of-flight sensors toward 4D LiDAR solutions capable of instant motion vectoring. This engagement follows Aeva’s recent transition to a direct Tier-1 supplier for a top European passenger OEM and its ongoing series production program with Daimler Truck. By consolidating LiDAR-on-chip technology and system-on-chip processing into a silicon photonics module, Aeva aims to deliver the scalability required for high-volume automotive manufacturing. The company anticipates a large-scale production award opportunity upon successful completion of this development phase.
Tesla Cybercab Program Lead Departs Ahead Of Series Production
Victor Nechita, Tesla’s Vehicle Programme Manager for the Cybercab, has exited the company days after the first production unit was completed at Gigafactory Texas. Nechita, who joined Tesla in 2017, led the program from concept through initial assembly. His departure occurs as the company targets an April 2026 series production launch, a phase traditionally associated with heightened logistics and scaling challenges. Tesla has not yet named a successor to manage the transition to volume manufacturing.
The program faces significant regulatory and technical headwinds, as the Cybercab lacks a steering wheel and pedals, necessitating a NHTSA exemption for U.S. road operation that has not been secured. Furthermore, the vehicle will launch using AI4 hardware, despite executive claims that the next-generation AI5 chip—slated for mid-2027—is critical for unsupervised autonomy. This leadership change follows a broader trend of senior talent attrition at Tesla, including the recent departures of program managers for the Cybertruck and Model Y, as well as high-level sales executives in North America.