In autonomous and self-driving vehicle news are Waymo, Google, Uber, Zipline, Pony.ai, Verne, Momenta, XHEART, BlackBerry QNX, Baidu, TIER IV and Renesas.
In this Article
Waymo Named Official Autonomous Ride-Hailing Partner of Las Vegas Raiders at Allegiant Stadium
Waymo Unveils Custom 5nm Sensor-Processing ASIC in Sixth-Generation Ojai Robotaxi Fleet
Waymo has disclosed its first proprietary silicon, an application-specific integrated circuit fabricated on TSMC’s 5nm process node delivering over 1,000 TOPS. Deployed in its sixth-generation Ojai robotaxi platform, the custom ASIC operates as an edge pre-processor dedicated to real-time temporal denoising and machine learning inference across 13 camera feeds, radar, and LiDAR streams before routing data to core compute units. The custom silicon functions additively within a heterogeneous hardware suite supported by Tier-1 suppliers including Nvidia, AMD, Micron, and Samsung.
The sixth-generation architecture relies on dual liquid-cooled, fail-operational compute modules designed for extreme vibration and thermal shock, reinforcing a redundant multi-sensor edge fusion model over vision-only autonomous systems. While hardware costs have dropped to an estimated $20,000 to $25,000 per vehicle across its 4,000-vehicle commercial deployment, reliance on Geely-manufactured Zeekr base vehicles from Ningbo, China, maintains trade and regulatory exposure as scaling expands into new metropolitan operating domains.
Waymo Integrates Google Gemini Assistant and Tri-Screen UI into Ojai Robotaxi Platform
Waymo has unveiled an overhauled in-cabin architecture for its purpose-built Ojai autonomous vehicle (AV), introducing an integrated Google Gemini conversational AI assistant alongside a redesigned user interface. Operating on a separate compute domain isolated from the core Level 4 Waymo Driver autonomous driving system (ADS), the Gemini assistant processes natural language voice commands for cabin climate adjustments, local point-of-interest (POI) queries, and safe passenger-directed pullover requests without accessing real-time motion control or routing pipelines.
The updated digital cockpit deploys a choreographed tri-screen display system that dynamically configures content based on passenger seating telemetry. Rather than mirroring identical outputs across all displays, the human-machine interface (HMI) allocates discrete controls, media playback modules, contextual transit telemetry, or minimal visual output modes such as Calm Mode depending on seat occupancy and user interaction across the ride-hail cabin.
Uber and Zipline Form Strategic Autonomous Drone Logistics Partnership
Uber, Pony.ai, and Verne Launch Commercial Autonomous Ride-Hailing Service in Zagreb
Uber Technologies has launched its first European autonomous vehicle (AV) ride-hailing deployment in Zagreb, Croatia, in partnership with autonomous driving developer Pony.ai and mobility operator Verne. Available directly within the standard Uber application under UberX and Comfort tiers, the commercial service operates across key urban zones, including Zagreb’s city center, utilizing Pony.ai’s Gen-7 autonomous driving platform integrated into Verne’s dedicated fleet.
The three-party deployment framework splits technical and operational responsibilities: Pony.ai supplies the full-stack autonomous driving system (ADS), Verne serves as local fleet owner and operational manager, and Uber provides network dispatch, dynamic demand matching, and user routing. The initial operational design domain (ODD) rollout utilizes onboard safety drivers for monitoring before transitioning to fully driverless operations as regulatory and platform validation milestones are met across targeted European expansion markets.
Pony.ai Expands International Robotaxi Pipeline to 4,000 Units as Q2 Revenue Surges
Pony.ai reported Q2 2026 revenue of $36.2 million, up 68.8% year-over-year, propelled by a 691.2% surge in robotaxi services to $12.1 million. The company has contracted an international pipeline exceeding 4,000 robotaxis across Europe, Southeast Asia, and the MENA region, including over 2,000 units allocated to European markets following an expanded joint deployment partnership with Uber. Commercial operations currently encompass deployments with Verne in Zagreb, ComfortDelGro in Singapore, and Bolt with Stellantis in Luxembourg.
Under its asset-light go-to-market structure, regional fleet operators fund and manage vehicle assets while Pony.ai supplies its Gen-7 autonomous driving platform, recognizing upfront hardware revenue alongside recurring revenue-share models. To reduce market adaptation latency across varied driving environments, the company is deploying its PonyWorld 2.0 AI simulation and engineering platform to streamline local calibration. Regulatory permitting timelines and cross-border operational compliance remain the principal determinants governing fleet rollout schedules across overseas territories.
Momenta, XHEART, and BlackBerry QNX Partner on ISO 26262 ASIL D Certified Autonomous Driving Platform
Autonomous driving software developer Momenta and AI chip designer XHEART have selected BlackBerry QNX’s safety-certified operating system to underpin a production-ready Physical AI automated driving platform. The integrated architecture combines Momenta’s full-stack perception and planning algorithms, the XHEART X7 automotive-grade System-on-Chip (SoC), and QNX OS for Safety built on the QNX Software Development Platform (SDP) 8.0 foundation.
The joint platform has achieved ISO 26262 ASIL D functional safety certification, the highest integrity level under the automotive safety standard. Engineered to streamline global OEM vehicle export compliance, the hardware-software stack provides an integrated baseline for regional type-approval mandates, including European Driver Control Assistance Systems (DCAS) regulations under UN R171.
Baidu Apollo Go Level 4 Autonomous Fleet Launches on Uber Platform in Dubai
TIER IV and Renesas Partner on Open AI-Native SDV Compute Platform Spanning L2+ to L4
TIER IV Joins Open Invention Network 2.0 to Mitigate Autonomous Driving Patent Risks
TIER IV has joined Open Invention Network 2.0, integrating its autonomous driving technology stack into the global patent non-aggression framework. As the primary maintainer of Autoware, an open-source autonomous driving software platform built on Linux and ROS, the Tokyo-based deep-tech company aims to insulate its partner ecosystem of OEMs, Tier 1 suppliers, and semiconductor manufacturers from intellectual property litigation.
The OIN 2.0 framework, initiated in January 2026, expands the definition and scope of covered Linux System technologies. Under the agreement, participating entities cross-license core patents on a royalty-free basis, establishing a defensive moat around open-source compute architectures, AI stacks, and vehicle middleware. TIER IV’s alignment with OIN 2.0 formalizes a patent strategy intended to accelerate commercial autonomous vehicle deployments by standardizing open governance and IP risk mitigation across the automotive supply chain.
Cranfield University Advances Autonomous Vehicle Perception in £3.75 Million CAM Pathfinder Initiatives
Cranfield University has joined two autonomous vehicle perception programs backed by £3.75 million in UK government grant funding through the Centre for Connected and Autonomous Vehicles (CCAV) CAM Pathfinder initiative delivered via Zenzic and Innovate UK. The projects, DRIVEN BY SOUND+ and 5D RAPID, target edge-case environmental degradation and high-speed object detection to reinforce all-weather operational safety for commercial connected and automated mobility (CAM) systems.
The £1.25 million DRIVEN BY SOUND+ project, led by Calyo with Benedex, integrates 3D ultrasound sensors with machine learning pipelines to bypass optical and LiDAR signal degradation during fog, heavy rain, and low-light conditions, utilizing Cranfield’s CONRRAD drive-by-wire platform for validation. Simultaneously, the £2.5 million 5D RAPID initiative, led by Oxford RF alongside Coventry University, IPG Automotive, ECOSAR Tech, and Halo Drive, integrates 5D radar arrays—measuring 3D spatial position and 2D velocity vectors—tested across Cranfield’s Multi User Environment for Autonomous Vehicle Innovation (MUEAVI) proving ground and public roads.