New white paper calls for clearer marketing of vehicle autonomy and driver assistance for safety
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.”
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.”
The white paper examines how Level 2+ vehicles can be optimized for safety by using 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.”
The Velodyne-sponsored white paper, called “A Safety-first Approach to Developing and Marketing Driver Assistance Technology,” can be downloaded here.