
Vueron Newsletter
No. 207
2025.05.23
ISEE And TICO Partner To Deliver Autonomous Yard Trucks To Customers | ||
Autonomous Driving | Uber Adds May Mobility to Its Roster of Self-Driving Vehicle Partnerships | |
LiDAR | Ouster signs multimillion-dollar agreement with LASE PeCo to deploy lidar-powered smart city solutions in Europe | |
Aurora’s driverless trucks begin customer deliveries in Texas | ||
Taking autonomous driving off-road for mining, search and rescue, exploration |
1. ISEE And TICO Partner To Deliver Autonomous Yard Trucks To Customers
- ISEE and TICO have announced the industry’s first fully integrated, production-deployed autonomous yard truck.
- The autonomous trucks are currently operating at a Fortune 100 logistics hub, performing driverless trailer moves in live yard environments.
- ISEE’s AI-driven autonomy stack is tightly integrated with TICO’s terminal tractor platform via a close engineering collaboration.
- The system has reportedly completed hundreds of thousands of autonomous trailer moves, supporting operations in mixed-traffic settings.
- Each unit undergoes rigorous testing to ensure safe, scalable deployment in logistics yards such as warehouses, manufacturing plants, and ports.
- The solution supports diesel, CNG, and electric powertrains, offering customers flexibility in deployment and sustainability goals.
- A retrofit program will enable existing TICO customers to upgrade current fleets with ISEE’s autonomy system.
- The partnership signals a strong market shift toward scalable yard automation, with further North American deployments expected in 2025.
ISEE and TICO have partnered to launch the first production-ready, OEM-integrated autonomous yard truck, now operating at scale across active logistics hubs in the U.S.
2. Uber Adds May Mobility to Its Roster of Self-Driving Vehicle Partnerships
- Uber has partnered with May Mobility to deploy thousands of autonomous vehicles on its ride-hailing platform over the coming years.
- The collaboration will begin in Arlington, Texas, by the end of 2025, with plans to expand to more U.S. cities in 2026.
- Customers will be able to select May Mobility’s autonomous, hybrid-electric Toyota Sienna vehicles for qualifying trips via the Uber app.
- Initially, a safety operator will ride along, with fully driverless service planned for future phases.
- May Mobility uses its proprietary MPDM (Multi-Policy Decision Making) system, which applies real-time AI reasoning to manage unpredictable real-world conditions.
- The partnership signals Uber’s shift from internal AV development to integration with third-party autonomy providers.
- May Mobility already operates in select U.S. cities and is positioning itself as a leading autonomy-as-a-service provider.
- Working with Uber is expected to accelerate May Mobility’s market reach and consumer accessibility.
3. Ouster signs multimillion-dollar agreement with LASE PeCo to deploy lidar-powered smart city solutions in Europe
- Ouster has signed a multimillion-dollar agreement with LASE PeCo to expand the deployment of 3D digital LiDAR sensors and software across Europe.
- LASE PeCo, which has already installed hundreds of Ouster sensors, will now deploy hundreds more along with Ouster’s Gemini perception software.
- The Gemini platform integrates AI and 3D LiDAR to detect, classify, and track people and vehicles under various lighting and weather conditions.
- Applications include crowd analytics, mobility analysis, people counting, and intrusion detection in both public and retail spaces.
- The system integrates seamlessly with video management systems and supports real-time, GDPR-compliant analytics through the LASE PeCo Cloud.
- A recent PoC in Germany using Gemini for traffic classification at urban intersections led to full-scale deployment due to its success.
- The solution helps municipalities and businesses make informed decisions by delivering accurate spatial data and actionable insights.
- This partnership enhances smart city infrastructure with high-precision, scalable LiDAR systems that support efficiency and safety goals.

Ouster and LASE PeCo have partnered to deploy hundreds of LiDAR sensors and Gemini software across Europe, advancing smart city infrastructure with AI-powered spatial intelligence and real-time analytics.
4. Aurora’s driverless trucks begin customer deliveries in Texas
- Aurora Innovation has officially launched its commercial driverless trucking service, operating between Dallas and Houston.
- The service follows the successful closure of its safety case, which demonstrated regulatory compliance and roadworthiness.
- The Aurora Driver is an SAE Level 4 self-driving system and the first of its kind deployed in long-haul trucking.
- Aurora’s autonomous trucks have logged over 1,200 driverless miles and completed more than 10,000 customer deliveries during pilot operations.
- Key partners Uber Freight and Hirschbach Motor Lines supported years of supervised testing and are among the initial commercial clients.
- The system features powerful perception capabilities, including long-range object detection and dark-condition pedestrian recognition.
- Aurora’s trucks include redundant systems across braking, steering, computing, and communications to ensure operational safety.
- Expansion to El Paso, Texas and Phoenix, Arizona is planned by the end of 2025, signaling the company’s scaling roadmap.
Aurora has launched the first commercial driverless long-haul trucking service in Texas, marking a major milestone in SAE Level 4 autonomy with plans for regional expansion.
5. Taking autonomous driving off-road for mining, search and rescue, exploration
- Researchers at Carnegie Mellon University’s Robotics Institute have developed an autonomous off-road vehicle capable of navigating complex, unmapped terrain.
- The TartanDriver team from AirLab created a self-supervised autonomy stack that allows vehicles to traverse forests, rocky paths, and open fields without GPS or predefined maps.
- The system leverages foundation models and real-time multimodal data, reducing the need for manual data labeling and extensive field testing.
- Key components include LiDAR sensors, cameras, IMUs, shock sensors, and wheel encoders, all integrated for autonomous decision-making.
- The system uses SLAM (Simultaneous Localization and Mapping) to localize and map terrain dynamically in varied visual environments.
- Tests on an ATV showed reliable performance across different terrain types, including inclines and vegetation-dense areas.
- Future iterations will include thermal cameras to enable operation in degraded visual conditions like smoke or darkness.
- The autonomy stack is also being adapted for use on quadrupeds and motorized wheelchairs, highlighting the system’s platform versatility.
CMU’s Robotics Institute has developed a LiDAR-equipped, self-supervised autonomy stack for off-road vehicles, enabling robust navigation across complex terrain without maps or GPS.
*Contents above are the opinion of ChatGPT, not an individual nor company