In order for autonomous passenger transport vehicles such as robotaxis to coexist with human drivers on highways, adequate reaction times are required for safe operation and planning. Hardware-centric lidars offer passive performance for redundancy but have inherent limitations and don’t optimize data to reduce the perception systems’ reaction times based on operational domains. In this presentation, Mrinal Sood, Director of Technical Marketing for AEye, Inc., will discuss how AEye’s adaptive, high-performance, software-configurable lidar optimizes its output to improve perception when milliseconds count. 

• Hardware-centric lidars today offer redundancy, but have inherent limitations for feature improvements
• The benefits of added reaction time for ADAS systems
• How adaptive, high performance, software configurable lidar can provide meaningful long range data
• The impact of long-range classification for prediction and path planning and how they result in smoother driving at highway speeds