In autonomous and self-driving vehicle news are Waymo, Teradar, PlusAI, Mobileye, Tesla, Uber, Nuro, Lucid, Stellantis, Wayve, WeRide, Applied Intuition, Roadzen and drivebuddyAI.
Earlier this week:
- Waymo Calls Robotaxis Off Freeways Due to Construction Zone Entries
- Mobileye to Mobilize it Own Robotaxis in US in 2027
In this Article
Element Partners With Waymo To Enable The Future Of Autonomous Mobility At Scale
Element Fleet Management Corporation has entered into a strategic multi-year partnership with Waymo to provide end-to-end fleet management and operational services for autonomous vehicle deployment. Facilitated through the Element Mobility division, the collaboration will initially launch in San Diego before expanding to additional markets. The partnership aims to manage the complex orchestration layer required for scaling autonomous fleets, combining Element’s vehicle logistics with Waymo’s automated driving technology and ride-hailing demand platform.
Under the terms of the agreement, Element will oversee asset lifecycle management, charging infrastructure, energy optimization, maintenance coordination, and compliance protocols to ensure vehicle readiness and operational uptime. Waymo retains responsibility for the validation and performance of the Waymo Driver autonomous software, delivering the ride-hailing service directly to passengers via the Waymo application. Element currently manages more than 1.5 million vehicles globally, leveraging its automated logistics infrastructure to optimize commercial and autonomous operations.
Teradar Secures Paid Technical Evaluation With Major German OEM For Terahertz Perception Technology
Teradar announced a paid technical evaluation program with a leading German automotive manufacturer to assess its flagship Summit terahertz vision technology. The evaluation focuses on bridging critical perception gaps within current ADAS and autonomous driving sensor suites, specifically targeting performance shortfalls associated with optical and radio-frequency sensors in degraded visual environments. The testing protocol will measure the sensor’s capability to detect small, long-range objects and resolve multi-target scenarios under simulated adverse weather conditions, including dense fog, heavy rain, moisture, and dust.
The program follows preliminary track-testing conducted in Germany earlier this year, which validated the Summit sensor’s operational range and integration compatibility with existing perception stacks. The upcoming phase utilizes specialized OEM testing facilities to quantify target separability, such as distinguishing a pedestrian adjacent to a disabled vehicle, and long-range edge-case detection, including downed motorcyclists. Data harvested during this evaluation will directly influence the automaker’s sensor architecture decisions and component sourcing strategies for its upcoming next-generation software-defined vehicle platforms.
PlusAI SuperDrive Named to Fast Company 2026 World Changing Ideas List
Teradar partner PlusAI announced its Level 4 autonomous driving software, SuperDrive, earned recognition on the Fast Company 2026 World Changing Ideas list. The selection highlights the ongoing transition of autonomous trucking from early-stage development to scaled commercial application within global freight operations. SuperDrive is built upon the proprietary AV2.0 architecture, incorporating end-to-end neural networks, vision-language-action capabilities, and independent deterministic safety guardrails validated across seven million real-world test miles.
The software platform underpins fleet deployment trials with industry partners, including integrated factory configurations for TRATON GROUP brands Scania, MAN, and International, alongside programs with Iveco Group and Hyundai Motor Company. Recent technical milestones for the SuperDrive platform include the release of version 6.0 featuring nocturnal navigation and construction zone management, co-development of the Alpamayo foundation model with NVIDIA, and achieving four distinct ISO compliance certifications for cybersecurity and functional safety. PlusAI reports a 90.1% safety case readiness metric as it targets a 2027 commercial launch timeline for driverless vehicle configurations.
Mobileye Launches Vertically Integrated Robotaxi Business Unit for U.S. Deployment
Mobileye announced a strategic expansion into full ownership and operation of an autonomous ride-hailing business, shifting from its traditional role as a pure-play self-driving-system supplier. The initiative combines the Mobileye Drive autonomous platform with the transit-planning infrastructure of its Moovit subsidiary, which encompasses consumer-facing applications, AV mission control, and teleoperation integration. The company plans to launch a pilot fleet of approximately 100 fully driverless vehicles in a major U.S. metropolitan market in 2027, with a stated scaling target of 17,000 autonomous vehicles within the subsequent five years.
This operational expansion runs parallel to, and does not replace, Mobileye’s core business of supplying hardware and software to external automotive OEMs and mobility partners. The vertically integrated fleet will utilize vehicle platforms from external manufacturers alongside third-party fleet operators to validate full-stack deployment economics and accelerate real-world machine learning feedback loops. The venture leverages Mobileye’s legacy computer vision and Compound AI architecture, which underpins over 230 million production vehicles equipped with EyeQ technology, alongside its recent 2026 acquisition of Mentee Robotics to advance physical AI capabilities.
Tesla Cybercab EPA Filings Show Specs
Documents submitted to the Environmental Protection Agency confirm the primary powertrain and mechanical specifications for the Tesla Cybercab, designated under test group TTSLV00.0L1A. The upcoming two-seat dedicated robotaxi is certified as a battery electric Zero Emission Vehicle, establishing a baseline for the platform layout ahead of targeted deployment.
The filing details a single front-mounted AC three-phase permanent magnet electric motor producing 163 kW or 219 horsepower. The electrical system architecture operates at 326 volts, pulling from a lithium-ion battery pack with a rated capacity of 146 Ah, translating to approximately 47.6 kWh of usable energy storage. Total recharge energy drawn from the grid is listed at 53.365 kWh, factoring in standard charging infrastructure losses.
Initial testing data indicates high platform efficiency, with an unadjusted combined Multi-Cycle Test range of 418.2 miles and an unadjusted highway range of 375.4 miles. Applying the standard EPA adjustment factor of 0.7 to account for real-world auxiliary loads establishes an estimated sticker range of approximately 293 miles. This operational efficiency correlates with the previously targeted 165 Wh/mi power consumption metric.
Physical specifications place the vehicle curb weight at 3,113 pounds, with a Gross Vehicle Weight Rating of 3,730 pounds. This architecture makes the Cybercab the lightest vehicle in the Tesla lineup, achieved via a two-occupant footprint, structural optimization, and a 50% reduction in total components compared to the Model 3 platform.
The certification lists front-wheel drive as the primary mechanical layout, utilizing the front axle as the sole source of regenerative braking. While the paperwork notes all-wheel drive under the test mode parameter, the single-motor designation and regenerative configuration support a front-wheel-drive platform architecture, indicating a clerical anomaly in the test mode field.
The official Certificate of Conformity was issued on May 26, 2026, with an internal introduction into commerce date listed as May 29, 2026. This regulatory clearance permits the operation of the steering-wheel-free configuration on public roads under Federal Motor Vehicle Safety Standards self-certification.
Lawmakers Demand NHTSA Investigation Into Tesla FSD Safety Claims and Data Metrics
Senators Edward J. Markey and Richard Blumenthal formally requested that the National Highway Traffic Safety Administration investigate the mathematical validity of Tesla’s Full Self-Driving safety performance claims. In a joint oversight letter addressed to NHTSA Administrator Jonathan Morrison, the lawmakers asserted that Tesla metrics—including public declarations that FSD is up to ten times safer than human driving—rely on flawed methodologies that systematically inflate system safety advantages. The inquiry highlights structural data asymmetries, such as comparing newly manufactured vehicles against historical fleet-wide averages and relying on selective crash outcomes.
The congressional communication challenges specific telemetry and reporting parameters utilized by Tesla to calculate automated driving risk factors. Notably, the senators questioned the automaker’s reliance on a narrow five-second disengagement window to exclude post-disengagement collisions from its internal safety logs, contrasting it against the 30-second reporting requirement mandated by NHTSA’s Standing General Order. Additionally, the correspondence requests formal confirmation by July 7, 2026, regarding whether the federal regulator has audited Tesla’s automated telemetry systems for omitted incidents caused by localized cellular connectivity dropouts or severe impact damage to vehicle communication modules.
Sweden Urges EU Rejection of Tesla FSD Over Custom Speed Offset Feature
Sweden formally recommended that the European Union Technical Committee on Motor Vehicles vote against a bloc-wide rollout of Tesla Full Self-Driving software due to its Speed Offset feature. The mechanism allows drivers to configure the automated system to systematically exceed posted speed limits by a user-defined margin or to match aggressive traffic flows through contextual speed settings. The Swedish Transport Agency stated that automated systems must strictly adhere to legal frameworks to preserve safety benefits, confirming its representative will oppose authorization at the June 30 committee session unless the speeding functionality is removed from the software stack.
The regulatory dispute highlights a divergence between Tesla automated driving philosophy, which trains neural networks to mimic flexible human driving patterns, and European Type Approval principles that mandate algorithmic compliance with statutory limits. The opposition has consolidated a Nordic regulatory front, with Finland and Norway raising parallel concerns regarding Speed Offset alongside the perceived deficiency of California-centric FSD training models on icy road surfaces. While smaller member states including Estonia, Denmark, and Belgium have granted national approvals under a supervised framework that places legal liability on the human driver, an EU-wide qualified majority remains contingent on securing voting blocs like Germany, France, or Italy, none of which have advanced toward authorization.
Uber, Nuro, and Lucid to Expand Robotaxi Deployment to Houston in 2027
Uber Technologies Inc., Nuro Inc., and Lucid Group Inc. have announced Houston, Texas, as the second deployment market for their joint autonomous ride-hailing initiative, following an initial launch in the San Francisco Bay Area scheduled for late 2026. The companies intend to commercially launch the Houston robotaxi service in mid-2027 exclusively via the Uber network, with plans for subsequent multi-market scaling. The global program, first established in July 2025, aims to deploy a minimum of 35,000 autonomous vehicles globally over the next several years.
Nuro is currently executing 24/7 autonomous public-road testing with safety operators in Houston and California using a fleet of nearly 100 test vehicles to validate its universal autonomy platform. The engineering and testing matrix will expand following the production of validation robotaxis at Lucid’s manufacturing facility in Arizona for safety testing and vehicle homologation. To establish local operational infrastructure, Uber has secured a 50,000-square-foot depot and a dedicated charging pitstop in Houston to manage fleet operations, maintenance, cleaning, and fast-charging requirements at scale.
The upcoming commercial fleet will utilize the Lucid Gravity SUV platform alongside future Lucid midsize vehicles. Each vehicle will be integrated with the Nuro Driver Level 4 universal autonomy platform, featuring a redundant sensor suite consisting of cameras, lidar, radar, and a roof-mounted hardware halo. Under the division of responsibilities, Lucid handles vehicle manufacturing and factory integration, Nuro supplies the self-driving stack and visualization tech, and Uber maintains exclusive platform dispatch rights while designing the in-cabin user interface, occupant controls, and personalization features.
Stellantis, Wayve, and Uber Establish Global Level 4 Robotaxi Development Partnership
Stellantis, Wayve, and Uber have signed a non-binding Memorandum of Understanding to jointly develop and deploy Level 4 driverless mobility services on a global scale. The tripartite collaboration combines Stellantis’ factory-engineered L4-Ready Platforms, Wayve’s end-to-end embodied AI driving software, and Uber’s global marketplace network. The initiative builds upon existing bilateral agreements, including a recent L2++ driver assistance system contract between Stellantis and Wayve, alongside an ongoing Wayve-Uber pilot deploying autonomous rides across 12 international cities, including London and Tokyo, starting in 2026.
Under the framework, Stellantis will manage the high-volume engineering, manufacturing, and sensor suite integration for vehicles designed with the hardware redundancies necessary for high-utilization commercial fleet operations. Wayve will supply its mapless AI Driver stack, which utilizes generalized machine learning models to navigate diverse geographic territories without regional re-engineering. Uber will integrate the finished autonomous vehicles directly into its ride-hailing application infrastructure to manage dispatch, routing, and passenger customer acquisition across markets in North America and Europe.
The non-binding agreement outlines future definitive pacts spanning technology licensing, hardware production, and fleet procurement logistics. Representatives from all three entities indicated the ecosystem approach is designed to distribute development costs and scale deployment via existing automotive manufacturing pipelines and established digital transportation networks, while allowing each partner to maintain independent autonomous driving development strategies.
WeRide and Uber Expand Autonomous Ride-Hailing Framework into Switzerland
WeRide and Uber Technologies announced plans to launch a commercial Robotaxi service in the Greater Zurich Region, representing their second joint European market entry following a recent deployment in Madrid. The operational rollout utilizes an asset-light framework wherein WeRide supplies its specialized autonomous vehicle platform and Uber serves as the consumer-facing demand network. Day-to-day fleet management, maintenance logistics, and operational infrastructure will be handled locally by Swiss mobility operator Rydera.
The deployment leverages existing autonomous vehicle authorization from Switzerland’s Federal Roads Office, which previously granted WeRide a driverless testing permit for the Furttal region of Zurich. Scheduled to launch via the Uber application later this year pending final regulatory approvals, the fleet will scale progressively based on performance milestones established by FEDRO. The Swiss expansion represents the fifth city activated under a broader multi-city partnership agreement targeting global autonomous ride-hailing distribution across 15 metropolitan centers, building on operational data gathered from active commercial programs in Abu Dhabi, Dubai, and Riyadh.
Applied Intuition Expands Autonomous Driving Software Stack to Japan
Applied Intuition announced the regional expansion of its primary Self-Driving System platform into Japan to support localized Level 2+ and Level 2++ advanced driver assistance systems and future Level 3/Level 4 autonomy applications. The software-defined vehicle platform adapts the company’s end-to-end perception, planning, and control stack to negotiate regional driving conditions, including left-hand traffic configurations, tight urban corridors, and high-density multi-exit intersections. The deployment broadens the company’s Japanese market footprint, building upon established commercial Level 4 autonomous trucking programs with Isuzu Motors.
The SDS platform operates as a mapless, vision-centric architecture utilizing neural networks to process real-time inputs from production-grade optical cameras and radar sensors without relying on HD maps or lidar units. The modular software framework is engineered to run across varied silicon topologies, including passively cooled NVIDIA DRIVE compute nodes and secondary automotive system-on-chip platforms, avoiding hardware-level ecosystem lock-in for automotive OEMs. To facilitate localized continuous integration pipelines, Applied Intuition has established dedicated regional vehicle testing operations and localized data management infrastructure to ingest and process Japanese traffic telemetry and regulatory constraint parameters.
Roadzen Subsidiary drivebuddyAI Secures Real-Time Lane Detection Patent
Roadzen Inc. announced its fleet safety subsidiary, drivebuddyAI, has been granted a patent for a Real-Time Automotive Lane Region of Interest Detection System. The technology introduces an algorithmic framework designed to mitigate lane boundary detection failures across variable lighting, unmaintained infrastructure, and diverse vehicle topologies. The patented system incorporates an AI-driven frame validation module that continuously scores video feeds for lane geometry and visibility metrics, filtering out low-confidence video segments to reduce false-positive driver alerts within Advanced Driver Assistance Systems.
The software architecture dynamically scales its Region of Interest computation parameters based on vehicle classification, adapting operational priority models for passenger cars, heavy trucks, or transit buses. Operating via a unified dual-camera processing pipeline that merges road-facing and driver-facing optical sensors, the system simultaneously tracks external environmental factors and internal occupant states. The framework is architecturally positioned for Level 2 and Level 3 autonomous vehicle applications, including Autonomous Emergency Braking and predictive path planning. The company demonstrated the compliance-ready technology, alongside its Euro NCAP and European General Safety Regulation aligned occupant monitoring systems, at the InCabin USA exhibition in Detroit.