Torc Taps Innoviz for Short-Range Lidar Requirements
Autonomous Truck Developer to Use Aeva Sensors for Long-Range Needs
Key Takeaways:
- Torc will continue to work with Aeva for its long-range lidar needs, a spokeswoman said Dec. 3.
- Lidar technology uses laser pulses to generate high-resolution 3D maps of the environment.
- Autonomous trucks require long-range lidar systems to identify objects far ahead and short-range sensors to capture detailed data in complex driving situations.
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ý will utilize for its Level 4 autonomous trucks, the companies disclosed publicly for the first time Dec. 2.
Israel-based Innoviz said in September it was working with a large commercial vehicle manufacturer, but Torc and parent company Daimler Truck’s identity remained under wraps.
Torc will continue to work with Aeva for its long-range lidar needs, a spokeswoman said Dec. 3.
Lidar technology uses laser pulses to generate high-resolution 3D maps of the environment.
Autonomous trucks require long-range lidar systems to identify objects far ahead and short-range sensors to capture detailed data in complex driving situations.
ý and its long-range lidar supplier Aeva showcase a self-driving Freightliner Cascadia at CES 2025. (Seth Clevenger/Transport Topics)
“Selecting the right lidar partner is fundamental to our autonomous trucking strategy,” said Rakesh Aneja, head of corporate development at Daimler Truck North America. “Innoviz’s proven track record in automotive-grade lidar sensors makes them an ideal partner as we advance toward series production. This collaboration brings us closer to delivering autonomous trucks that will reshape the logistics industry.”
Mike Avitabile, Torc head of engineering, added: “Integrating Innoviz’s technology into our self-driving vehicle software solution enhances our system’s ability to detect, classify and track objects in real time across diverse road and weather conditions. Innoviz’s sensors deliver the consistency and durability required for commercial operation, while supporting the redundancy needed for safe Level 4 autonomy.”
DTNA’s Freightliner unit is building production model autonomous Cascadia tractors. Torc intends to launch driverless commercial operations in 2027.
Did you hear the buzz? Innoviz's big win with is making waves!
Daimler Truck and have selected Innoviz to supply LiDAR for the next generation of autonomous Freightliner Cascadia trucks.
Read all about it here: — Innoviz Technologies (@InnovizLiDAR)
“Autonomous-ready” Cascadias began operating on public roads in Texas for the first time in July.
After the announcement, Aeva said it would be able to increase annual production capacity to 200,000 lidar units to support multiple customers, including Daimler Truck. The truck maker also provided Mountain View, Calif.-based Aeva with funding at the time.
Since then, Aeva unveiled a collaboration on advanced driver assistance systems with brake and safety system specialist Bendix in July and $100 million in backing from funds associated with investment firm Apollo Global Management in November.
Chad Lindholm of Clean Energy reflects on how dramatically the renewable natural gas discussion has evolved in trucking.Tune in above or by going to .
Earlier in the year, Torc began testing its self-driving trucks on what is expected to be the Blacksburg, Va.-based company’s first driverless freight lane.
The lane between Laredo and Dallas is one of the busiest in the U.S. and passes through San Antonio and Austin. Laredo accounted for nearly 40% of incoming trucks from Mexico, according to Bureau of Transportation Statistics data.
Torc’s autonomous trucks already were being tested on routes in New Mexico, Texas and Arizona.
In 2024, Torc completed driverless test runs on a multilane test track in Texas.
Daimler Truck owns about 91% of ý, with the remaining shares being held by the founders. Daimler Truck Chief Financial Officer Eva Scherer declined to comment on whether a financial partner would be sought for Torc during the company’s third-quarter 2025 earnings call Nov. 7. Torc was acquired by Daimler Truck in 2019.
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