One of the top challenges in developing autonomous vehicles is addressing where computer hardware and software need to work together to solve problems. Ed Brown, Associate Editor of the magazine Photonics & Imaging Technology, a publication of Tech Briefs Media Group, interviewed Velodyne Lidar CEO Anand Gopalan to discuss lidar software for ADAS and autonomous vehicles. For instance, Velodyne is developing Vella™, breakthrough advanced driver assistance software based on the directional view Velarray™ sensor.
The Photonics & Imaging Technology interview included discussion of the primary goals of lidar software such as “to increase the speed of response and optimize efficient use of computational resources.”
The conversation also covered the challenge of “corner cases” for autonomous vehicles. As an example, the article cited, “a taxi pulling back into traffic after dropping a passenger at the curb.” Anand noted, “There are a lot of critical corner scenarios that autonomous vehicles have to deal with, which require a lot more innovation in software, sensor, and computing hardware.”
In the interview, Anand addressed “the problem of near-field sensing,” an issue Velodyne is developing sensors to address. He noted, as examples, “a bicyclist alongside a turning vehicle or a ball rolling into the street. These kinds of situations require software to provide improved classification of objects and prediction of behavior.”
The read the entire interview with Anand, please go to the following link: Challenges for Lidar Software.