Report Also Finds that Lidar Enhances Performance of Advanced Driver Assistance Systems

A recently published white paper developed by Frost & Sullivan calls on the auto industry to clarify and standardize marketing terminology for driver assistance and self-driving technologies. It also finds that lidar technology can "enable significant advances in driver assistance" and calls lidar "the key technology to enable both full driving autonomy as well as safe driver assistance."

Terminology Can Promote Safety

SAE International developed definitions for different levels of vehicle automation - Levels 0 through 5. The report calls on the industry to eliminate Level 3, where drivers need to intervene and rapidly control the vehicle when automation fails. In its place, the recommendation is to categorize vehicles as having Level 2+ (advanced driver assistance systems - ADAS) or Level 4+ (autonomous vehicles) capabilities, creating "a clear boundary between the levels of automation that require an attentive driver (Level 2+) and those that do not (Level 4+)." This change can reduce confusion about the definition and appropriate use of "self-driving." The report recommends that any vehicle below Level 4 not be marketed as being "autonomous" or "self-driving."

"The significant driver experience and safety gains that advanced driver assistance systems can provide are being overshadowed by the confusion created from misalignment of marketing claims and vehicle capabilities," said Dr. Rajender Thusu, Industry Principal, Frost & Sullivan, the white paper's author. "The industry should adopt consistent nomenclature and avoid marketing spin. Segmenting vehicles as Level 2+ and Level 4+ would help significantly reduce confusion about the meaning of self-driving."

Lidar Enhances ADAS Performance

The white paper examines how Level 2+ vehicles can be optimized for safety by utilizing lidar technology with complementary cameras and radar. Lidar-enabled perception systems enhance ADAS features such as Automatic Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Lane Keep Assist (LKA).

The report observes that "unlike radar, lidar provides much higher resolution, enabling accurate object detection. Unlike cameras, lidar provides accurate depth perception, with distance accuracy of a few centimeters, making it possible to precisely localize the position of the vehicle on the road and detect available free space for the vehicle to navigate."

Lidar technology can "offer a 360-degree horizontal field of view and up to 40-degree vertical field of view" - capabilities "essential for accurately locating the vehicle within its environment and planning its driving path." It also points out how lidar "can operate in poor lighting conditions, unlike cameras, since lidars are their own light source."

"With this white paper, Frost & Sullivan has contributed valuable insights to the industry dialogue on the best approach to future advanced driving safety systems," said Marta Hall, President and CBDO, Velodyne Lidar. "After reviewing the report, it is clear the addition of lidar to ADAS provides essential intelligence to detect more objects and offer cars a more detailed view of their surroundings to maximize roadway safety."

About Velodyne Lidar

Velodyne provides the smartest, most powerful lidar solutions for autonomy and driver assistance. Founded in 1983 and headquartered in San Jose, Calif., Velodyne is known worldwide for its portfolio of breakthrough lidar sensor technologies. In 2005, Velodyne's Founder and CEO, David Hall, invented real-time surround view lidar systems, revolutionizing perception and autonomy for automotive, new mobility, mapping, robotics, and security. Velodyne's high-performance product line includes a broad range of sensing solutions, including the cost-effective Puck™, the versatile Ultra Puck™, the perfect for L4-L5 autonomy Alpha Puck™, the ultra-wide angle VelaDome™, the ADAS-optimized Velarray™, and the groundbreaking software for driver assistance, Vella™. To learn more about lidar, please visit https://velodynelidar.com/lidar-101.html.