How Lidar-based Automated Emergency Braking Can Reduce Pedestrian Fatalities in All Conditions
While overall driving was down 13 per cent in miles driven last year due to the COVID-19 pandemic, deaths involving a vehicle were up 8 per cent in the United States, reported the National Safety Council.
Velodyne Lidar, Inc. today showed how with lidar technology, Pedestrian Automated Emergency Braking (PAEB) systems could be significantly improved, with the potential to save thousands of lives annually.
Velodyne released a new video that showcases how its affordable lidar-based PAEB solution delivers superior performance in all conditions, a decisive advantage over radar+camera-based systems. This is especially critical at night with the National Highway Traffic Safety Administration (NHTSA) reporting 80 per cent of pedestrian fatalities to occur during dark lighting conditions.
The Velodyne video presents striking test results where a highly-rated PAEB system using radar+camera-based technology failed in all six nighttime scenarios. At the same time, the Velodyne PAEB solution avoided a crash in every situation. These results support independent testing by NHTSA and the American Automobile Association (AAA) to confirm whether PAEB systems that use radar+camera-based technology adequately protect pedestrians in dark conditions.
The Velodyne PAEB solution combines proprietary software, called Vella, with Velodyne’s lidar sensors. The sensors can be easily embedded in various places around a vehicle, including behind the windshield. Vella software interprets lidar data to avoid and mitigate crashes with moving and static objects. Vella compares a vehicle’s trajectory with other road users and objects to identify and avoid imminent crash scenarios through predictive collision monitoring.
Velodyne is sharing the company’s PAEB test methodology and findings with NHTSA and other auto safety leaders. NHTSA has a pending proposal to update its New Car Assessment Program (NCAP), adding an advanced driver assistance system (ADAS) capabilities, including PAEB, to the NCAP. Velodyne is very supportive of NHTSA’s NCAP plan to keep pace with evolving safety technologies and provide much-needed information to consumers. It looks forward to NHTSA leadership completing the review of this measure moving ahead with its request for comment.
“Our PAEB testing initiative demonstrates the imperative for regulatory agencies and testing organizations to include nighttime conditions in their PAEB assessment protocols,” said Anand Gopalan, CEO, Velodyne Lidar. “Everyone, particularly automakers and drivers, will expect that ADAS, such as PAEB, perform effectively in a wide variety of lighting situations, particularly at night when the most pedestrian fatalities occur. We believe Velodyne’s lidar data and Vella processing software have shown to be effective and ready for implementation, with the potential to save the lives of thousands of pedestrians annually.”
Velodyne PAEB Testing Methodology
The Velodyne PAEB tests were conducted at nighttime, without streetlights, at less than 1 lux ambient lighting in an independent testing facility. The two vehicles in the test were driving at 30 mph on a straight track. The test vehicles each had their low beam headlights on during the trials. Stationary child and adult pedestrian dummy targets were used, compatible with the Insurance Institute for Highway Safety (IIHS) and Euro NCAP testing protocols.
Six scenarios were evaluated with both vehicles tested in each scenario five times or until the vehicle collided with the target three times to minimize damage to the targets and vehicles.
The scenarios in which vehicles were evaluated (at the centre of the test vehicle’s width) :
Crossing adult at 50 percent overlap
Crossing adult at 25 percent overlap;
Crossing child at 50 percent overlap;
Crossing child at 25 percent,
Adult at 75 per cent, 10 feet behind child;
Crossing adult at driver-side corner
Fallen adult at 50 percent overlap.
The vehicle with Velodyne’s lidar-based PAEB system, equipped with one Velarray lidar sensor, successfully stopped in time to avoid a crash five out of five times for every scenario tested. The vehicle equipped with a PAEB system using radar+camera-based technology failed in every scenario tested.