2021 BRN Discussion, page-19795

Predictive iDAR

• Scan patterns created at design AND created at run-time
• Scene based predictive scanning
• Forecasting based
• NN predictions
• Solves edge case scenarios

Predictive iDAR takes what is offered in Responsive iDAR but looks ahead and, therefore, is even smarter about where (and what) it interrogates. In this level, basic perception can be distributed to the edge of the sensor network. Just like a human, Predictive iDAR understands the motion of everything it sees, which enables the system to deliver more information with less data, focusing its energy on the most important objects in a scene while paying attention to everything else in its periphery. The end result of Predictive iDAR is Motion Forecasting through neural networks. Like human intuition, Predictive iDAR can “sense” (i.e., predict) where an object will be at different times in the future, enabling the vehicle to solve even the most challenging edge cases.

iDAR is smarter than LiDAR

Wonder what sort of neural network they use.

SC