Lane-Keeping in Self-Driving Trucks: Precision and Trust

Lane-Keeping in Self-Driving Trucks: Precision and Trust

Across all the features that self-driving technology has to offer, we might think of lane keeping as one of the most basic features possible. However, lane keeping is a complex behavior that relies on multiple components, sensors, and procedures to complete safe driving behaviors. In self-driving technology, precision is everything, making lane keeping a foundational necessity that underscores the safe and efficient operation of robotic trucks.

What is lane keeping?

Lane keeping is a critical driving functionality that ensures a vehicle stays within its designated lane on the road. Many newer consumer cars and commercial semi-trucks have some form of autonomous lane-keeping system programmed in, albeit there are several nuances and differences between types of lane-keeping systems, such as:

Lane Keep Assist (LKA)

Lane Keep Assist is a feature that can be toggled on and off on most vehicles. It typically works via camera, allowing the LKA to “see” the lane lines and nudge your vehicle within the lane lines when it begins to drift. However, because it’s camera-based, this feature may struggle to perform in muddy, snowy, or especially rainy conditions.

Lane Keep Assist is sometimes confused with Lane Departure Warning, which alerts drivers via haptic feedback, audible alerts, and sometimes indicator lights, if they’ve begun drifting out of the lane. Unlike other forms of lane-keeping systems, lane departure warning won’t correct the vehicle’s path. Instead, its job is to inform the driver that the vehicle is exiting the lane.

Lane Centering Assist (LCA)

Lane centering, sometimes called autosteer, takes LKA a step further. This feature is typically part of a vehicle’s adaptive cruise control, wherein a vehicle performs most highway behaviors itself while under human supervision. Lane centering is an active technology that keeps a vehicle in the center of its lane and can typically be turned on and off.

Today, many Class 8 trucks come equipped with various forms of Lane Keep Assist, Lane Centering Assist, and Adaptive Cruise Control. Aside from making drives safer for truck drivers and other highway users alike, these features can adjust throttle inputs and gear ratios for more efficient driving behaviors. By utilizing these features, drivers can optimize the amount of fuel their equipment consumes, reducing costs across the board.

Why is lane keeping important?

Lane keeping plays a foundational role in ensuring the safe and efficient operation of any vehicle, including our autonomous trucks. By enabling our robotic trucks to steadfastly maintain their designated lanes, we’re not only addressing a core competency in highway navigation but proving that our technology can be a safe foundation for a self-driving system.

Lane-keeping is important because of its impact on safety, but there are a few other reasons why we focus on this behavior as one of the most integral in safe-driving technology.

lane keeping

 

Traffic Flow and Predictability

When vehicles stay within their designated lanes, it reduces the likelihood of swerving and abrupt lane changes. When we humans learn to drive, we learn that being a predictable driver means being a safe driver.

Our autonomous technology is no different. In order to reduce the likelihood of traffic accidents and promote smoother traffic flow, we must ensure that other drivers are able to anticipate what our self-driving truck is going to do at all times. Whether that means keeping a consistent, steady pace within one lane or using an indicator light to shift lanes, predictability should be at the forefront of all lane-keeping behaviors.

Efficiency

By staying within the given lane, vehicles maximize the use of available road space, allowing more efficient traffic flow. During peak hours, when space is at a premium, this can reduce delays, avoid bottlenecks, and make it easier for vehicles to travel at a consistent speed throughout their journey.

How do self-driving cars and trucks stay in their lanes?

Self-driving trucks and self-driving cars stay in their lanes via cameras, Global Navigation Satellite Systems, LiDAR (or Light Detection and Ranging sensors), and more. Thanks to the work of autonomous driving engineers, our self-driving semi-trucks’ perception suite can recognize lane markers, interpret them correctly, and communicate this information to the rest of the system. From there, the autonomous driving system can utilize the information to maintain a set speed and keep watch on the distance between it and the vehicle in front of it.

There’s a common misconception that driverless cars and driverless trucks rely on lane markers alone to make sense of the path before them. While this used to be the case for very early self-driving cars, our autonomous abilities have advanced to grand new heights. Today, lane markers (and the cameras that “see” them) are just one piece of the puzzle.

Self-driving vehicles also utilize radar, which is sometimes found in Lane Keep Assist programs that we have in our day-to-day cars. Radar adds an additional safety component to lane navigation. Using radio waves to detect objects like other cars and traffic cones, radar helps paint the picture of what the driving environment looks like. In the same vein, mapping allows a self-driving vehicle to utilize historical information about the road to navigate in conjunction with the other tools in its toolbox. These two tools work with lane marker detection to assess the environment, calculate the safest possible behavior, and execute that behavior.

Lane Keeping and Robotic Trucks

As proponents of safe and sustainable self-driving practices, our autonomous driving system keeps in line with regulatory and industry best practices throughout all lane keeping behaviors. Aside from its impact on safety, proper lane keeping allows us to operate predictably to drivers on the road around us, prove our product’s viability, and promote a safe self-driving future.

As we forge ahead with our driverless trucking development, we will continue to innovate, collaborate, and lead the way in advancing our autonomous driving system. Through ongoing research, development, and collaboration with our stakeholders and partners, we will further enhance our lane-keeping capabilities to meet the evolving needs and expectations of the industry and the public. Together, we’re driving the future of freight.

 

 

Torc Robotics Wins 2024 Artificial Intelligence Excellence Award

Torc Robotics Wins 2024 Artificial Intelligence Excellence Award

Blacksburg, VA — March 21, 2024 — Torc Robotics announced today that it was named a winner in the Artificial Intelligence Excellence Awards program by The Business Intelligence Group.

As the world’s leading autonomous trucking solution, Torc delivers a focused, hub-to-hub autonomous truck product while providing customers with the safest, most reliable and cost-efficient solution on the market. Through its proprietary machine learning and AI technologies, Torc automates on-the-road data processing, enabling its software in a self-driving-18-wheeler-to take in data from its sensor suite and automatically classify it, helping the system define signs or objects made for human vision. In collaboration with carriers like C.R. England and Schneider on autonomous trucking pilots, and leveraging partnerships with Foretellix, Uber Freight, Aeva and others, Torc is driving its technology toward scalable commercialization in 2027.

“Artificial intelligence has allowed us to produce technology that was previously unimaginable on the road, and it’s an honor to be recognized for our efforts,” said Peter Vaughan Schmidt, CEO of Torc Robotics. “In order to reach our goal of commercialization of autonomous trucks by 2027, they must be safe, economically viable and produced and maintained at scale. With the help of AI, I’m proud to share that at Torc we’re working on all three.”

“We are truly honored to recognize Torc Robotics with this prestigious award,” stated Maria Jimenez, Chief Nominations Officer for the Business Intelligence Group. “The unwavering commitment of their team to excellence and their innovative AI applications have catapulted them to this remarkable achievement. Congratulations to the entire organization!”


 

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 Business Intelligence Group 
The Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organization’s proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

 

Contact
Laura Lawton
press@torc.ai

Maria Jimenez
+1 909-529-2737
jmaria@bintelligence.com

Daimler Truck and Torc Robotics Select Aeva to Supply Advanced 4D LiDAR Technology for Series-Production Autonomous Trucks

Daimler Truck and Torc Robotics Select Aeva to Supply Advanced 4D LiDAR Technology for Series-Production Autonomous Trucks

This release was originally published by Aeva.

Daimler Truck and TORC Robotics Select Aeva to Supply Advanced 4D LiDAR Technology for Series-Production Autonomous Trucks

LEINFELDEN-ECHTERDINGEN, Germany, BLACKSBURG, Virginia AND MOUNTAIN VIEW, Calif., January 09, 2024 – Aeva(NYSE: AEVA), a leader in next-generation sensing and perception systems and Daimler Truck AG (“Daimler Truck”), one of the world’s leading commercial vehicle manufacturers, announced today that Daimler Truck has selected Aeva as the supplier of long and ultra-long range LiDAR for its series production autonomous commercial vehicle program.

Under the production collaboration, Aeva will supply its latest Aeva Atlas™ automotive grade 4D LiDAR technology to Daimler Truck and collaborate with Torc Robotics, Inc. (“Torc”), an independent subsidiary of Daimler Truck, to enable SAE Level 4 autonomous vehicle capabilities beginning with the Class 8 Freightliner Cascadia truck platform. Daimler Truck intends to integrate the LiDAR sensors directly in its production process, making it easy for customers to buy autonomous ready trucks directly out of its manufacturing plants without the need for sensors to be retrofitted. Torc in turn will sell its virtual driver technology and supporting services as a subscription to customers. Torc’s driving software will use Aeva’s perception software, built around Aeva’s instant velocity data, to detect objects faster, farther away, and with higher accuracy. The multi-year collaboration begins in the first quarter of 2024 with Aeva’s start of production by 2026 and Daimler Truck’s production ramping up by 2027.

LiDAR is a key enabling technology in autonomous driving. While traditional LiDAR sensors use laser pulses to sense distances to objects, Aeva’s unique Frequency Modulated Continuous Wave (FMCW) 4D LiDAR technology uses a low power continuous laser beam to simultaneously measure range and velocity for every point. This enables vehicles to unlock new levels of safety and automation by instantaneously discriminating between static and dynamic points and knowing the precise velocity of dynamic objects.

Joanna Buttler, Head of Global Autonomous Technology Group at Daimler Truck: “Daimler Truck is committed to leading the industry’s advancement toward autonomous trucks. Selecting the right LiDAR technology is a crucial strategic decision to safely deploy autonomous trucks on the road. We are convinced that Aeva with its cutting edge and reliable technology is the right production partner for LiDAR sensors and has the manufacturing capabilities to scale along with us. Today’s announcement therefore represents a key puzzle piece on our path towards commercialization. Together with Torc, we are well on track to offer autonomous trucks to the U.S. market by 2027.”

Peter Vaughan Schmidt, CEO at Torc Robotics adds: “Aeva is pioneering the commercialization of FMCW LiDAR technology, a key differentiator for long range detection and object identification. This means Torc’s virtual driving software can now rely on significantly higher resolution as well as farther and clearer detection of objects plus instant velocity detection, which are crucial to safely deploy autonomous trucks at scale. We have been working closely with the Aeva team over the past few years and we are excited about the real-world performance that Aeva’s technology has already demonstrated to help us solve some of the most challenging highway-speed use cases.”

Daimler Truck and Torc have made incredible progress in turning autonomous trucks from an idea into reality, running extensive and successful on road test programs as well as first customer pilots. To maximise the safety of autonomous trucks, Daimler Truck and Torc’s trucks are equipped with sensor sets from a combination of three technologies, namely state-of-the-art LiDAR, radar and camera technology. This enables safe handling adapted to the respective situation on highways, surface roads and ramps as well as when turning at controlled intersections.

The selection represents Aeva’s first major automotive OEM production design win and is the result of multiple years of extensive collaboration and qualification with Daimler Truck, Torc and Daimler Truck North America. As a direct supplier to Daimler Truck, Aeva is positioned to be a Tier 1 supplier to automotive OEMs globally.

“Daimler Truck is one of the most reputable commercial vehicle OEMs in the world. Our partnership with Daimler Truck and Torc Robotics is trailblazing the next era of commercial trucking, with safe, autonomous trucks that will revolutionize the industry as we know it,” said Soroush Salehian, Co-Founder and CEO at Aeva. “We are pleased to be selected for this major production supplier award and it is a testament to the hard work, innovation and tenacity of the entire Aeva team as we cross another critical milestone in Aeva’s path to leading the industry with our unique FMCW technology and perception solution.”

About Aeva Technologies, Inc. (NYSE: AEVA)
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. For more information, visit www.aeva.com, or connect with us on X or LinkedIn.

About Daimler Truck
Daimler Truck Holding AG (“Daimler Truck”) is one of the world’s largest commercial vehicle manufacturers, with over 40 main locations and more than 100,000 employees around the globe. The founders of Daimler Truck have invented the modern transportation industry with their trucks and buses a good 125 years ago. Unchanged to this day, the company’s aspirations are dedicated to one purpose: Daimler Truck works for all who keep the world moving. Its customers enable people to be mobile and get goods to their destinations reliably, on time, and safely. Daimler Truck provides the technologies, products, and services for them to do so. Furthermore, this applies to the transformation to CO2-neutral driving. The company is striving to make sustainable transport a success, with profound technological knowledge and a clear view of its customers’ needs. Daimler Truck’s business activities are structured in five reporting segments: Trucks North America (TN) with the truck brands Freightliner and Western Star and the school bus brand Thomas Built Buses. Trucks Asia (TA) with the FUSO, BharatBenz and RIZON commercial vehicle brands. Mercedes-Benz (MB) with the truck brand of the same name. Daimler Buses (DB) with the Mercedes-Benz and Setra bus brands. Daimler Truck’s new Financial Services business (DTFS) constitutes the fifth segment, the product range in the truck segments includes light, medium and heavy trucks for long-distance, distribution and construction traffic and special-purpose vehicles used mainly in the municipal and vocational sector. The product range of the bus segment includes city buses, school buses and intercity buses, coaches and bus chassis. In addition to the sale of new and used commercial vehicles, the company also offers aftersales services and connectivity solutions.

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.

Aeva, the Aeva logo, Aeva 4D LiDAR, Aeva Atlas, Aeries, and Aeva Ultra Resolution are trademarks/registered trademarks of Aeva, Inc. All rights reserved. Third-party trademarks are the property of their respective owners.


Contacts
Media:
Michael Oldenburg
press@aeva.ai

Daimler Truck
Media:
Paul Mandaiker
paul.mandaiker@daimlertruck.com, +49 17630999267

Daimler Truck North America
Media:
Anja Weinert, +1-669-600-1478, anja.weinert@daimlertruck.com

Torc Robotics
Laura Lawton
Press@torc.ai

Investors:
Andrew Fung
investors@aeva.ai

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