Capabilities and Technology
Torc acquires leader in computer vision and machine learning
In an effort to strengthen core competencies required for commercialization of Level 4 autonomous trucking, Torc acquired Algolux, a leader in computer vision and machine learning, in February 2022. The acquisition brought together Algolux’s end-to-end artificial intelligence (AI) stack, along with Torc’s groundbreaking autonomous-driving technology. Robust perception technology is key to helping Torc’s autonomous system correctly identify objects during difficult visual conditions such as low light, fog or bad weather. Algolux’s software is currently running on autonomous ready Freightliner Cascadia test vehicles.
Partnerships and Collaboration
Torc and C.R. England join forces on long-haul autonomous trucking pilots
Early this year, Torc announced a strategic collaboration with C.R. England, one of North America’s premier transportation companies. The partnership allows Torc to implement a pilot program leveraging C.R. England’s temperature-controlled loads and Torc’s fleet of Level 4 autonomous test trucks for long-haul applications. The collaboration is Torc’s first expansion into refrigerated freight. The pilot will provide select customers with temperature-controlled capacity and world-class service, while giving unique insights to help guide the development and ongoing commercialization of autonomous trucks for long-haul applications.
Dutch organization joins Torc for scenario-based safety validation
In late 2022, Torc announced a partnership with the Netherlands Organization for Applied Scientific Research (TNO) that would allow Torc and TNO to work together to substantiate the safety of self-driving trucks using scenario-based safety validation. TNO’s StreetWise, a safety validation methodology based on a real-world scenario database, provides a large collection of “driving events” designed to test and validate autonomous driving systems’ performance according to the latest safety requirements. The resulting scenario information enables Torc to apply thorough, virtual validation, according to state-of-the-art international safety assessment processes.
For more information on Torc, please visit www.torc.ai.
About Torc Robotics
Torc Robotics, headquartered in Blacksburg, Virginia, is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, Torc has over 18 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing autonomous trucks for long-haul applications in the U.S. Torc operates test facilities in Albuquerque, New Mexico, and engineering offices in Austin, Texas; Stuttgart, Germany; and Montreal, Canada. Torc’s purpose is driving the future of freight with autonomous technology. As the world’s leading autonomous trucking solution, we empower exceptional employees, deliver a focused, hub-to-hub autonomous truck product, and provide our customers with the safest, most reliable, and cost-efficient solution to the market.
About Daimler Truck
Daimler Truck is the pioneer of truck automation. In 2014, the world’s leading truck manufacturer presented the Mercedes-Benz Future Truck 2025, the world’s first automated truck, and was the first to demonstrate the technological opportunities and great potential that automated trucks offer customers and society. In 2015, Daimler’s Freightliner Inspiration Truck obtained the first-ever road license for a partially automated commercial vehicle demonstrating the promise of automated driving on the highways of Nevada. Today, Daimler Truck offers partially automated driving features (SAE Level 2) with the Mercedes-Benz Actros, the Freightliner Cascadia and the FUSO Super Great.
Daimler Truck North America has developed the autonomous-ready Freightliner Cascadia – the foundation of a smart autonomous driving system. The Class 8 truck is equipped with redundant functions that enable the deployment of autonomous trucking and are ideal for the integration of autonomous software, hardware, and compute. Designed and developed with a second set of critical systems, such as steering and braking, the vehicle meets Daimler Truck’s uncompromising safety standards. As part of the Autonomous Technology Group, DTNA is also researching the infrastructure required for the operational testing of initial application cases. DTNA is contributing to the successful development of autonomous driving technology and vehicle integration for heavy-duty trucks.
Torc: Laura Lawton
Daimler Truck: Paul Mandaiker
Daimler Truck North America: Anja Weinert