Electrical engineers at the University of California, San Diego (UC San Diego) have come up with a way to enhance the imaging capability of radar sensors to accurately predict the shape and size of objects in the vicinity.
This could enable self-driving cars to navigate safely in any type of weather, using what UC San Diego's Dinesh Bharadia calls "a LiDAR-like radar."
The system features two radar sensors positioned on the hood 1.5 meters (4.9 feet) apart, to capture more space and data than a single sensor can; the UC San Diego team developed algorithms that combine the collected data into a single noise-free image.
Test drives in clear weather showed the system performed as well as a LiDAR sensor in ascertaining the dimensions of cars moving in traffic, with similar performance in simulated foggy weather.
From UC San Diego News Center
View Full Article
Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
No entries found