32 min
The Drive to Level Five: Autonomous Driving in Adverse Weather. How Close Are We? The Drive to Level 5
-
- Automotive
LiDAR is the autonomous vehicle acronym that stands for Light, Detection and Ranging Technology. How good is it now and how good will it get in the years to come?
Zhenchun Xia is the Senior Engineer, ADAS Control Systems at Mitsubishi. His presentation will address this topic at the Drive World Conference & Expo in Santa Clara CA on August 27th at 9:00 AM. Zhenchun will be addressing how autonomous vehicles detect, range, and map the car's surroundings. Ideally, these cars will be operating in dry, sunny conditions. But what happens when it starts to rain, snow, or fog sets in?
This session will take an in-depth look at how LiDAR works and if we can really rely on the technology in less than perfect driving conditions. Some testing results under adverse weather conditions will be discussed.
Zhenchun explains the capability and advantages/limits of LiDAR detections in the edge conditions, like very far distance (up to 200 - 300 meters), highly dense point cloud in specific environment (trees surrounding traffic interaction, etc), as well as the highly dynamic driving conditions (high speed of host vehicles and the targeting vehicles, etc).
The general LiDAR detections algorithm and the calibration technology will also be discussed.
LiDAR is the autonomous vehicle acronym that stands for Light, Detection and Ranging Technology. How good is it now and how good will it get in the years to come?
Zhenchun Xia is the Senior Engineer, ADAS Control Systems at Mitsubishi. His presentation will address this topic at the Drive World Conference & Expo in Santa Clara CA on August 27th at 9:00 AM. Zhenchun will be addressing how autonomous vehicles detect, range, and map the car's surroundings. Ideally, these cars will be operating in dry, sunny conditions. But what happens when it starts to rain, snow, or fog sets in?
This session will take an in-depth look at how LiDAR works and if we can really rely on the technology in less than perfect driving conditions. Some testing results under adverse weather conditions will be discussed.
Zhenchun explains the capability and advantages/limits of LiDAR detections in the edge conditions, like very far distance (up to 200 - 300 meters), highly dense point cloud in specific environment (trees surrounding traffic interaction, etc), as well as the highly dynamic driving conditions (high speed of host vehicles and the targeting vehicles, etc).
The general LiDAR detections algorithm and the calibration technology will also be discussed.
32 min