As the automotive industry pushes forward with ADAS and autonomous driving, achieving the delicate balance between safety and system efficiency is more crucial than ever. While the performance of sensors continues to improve, the increasing volume of data these sensors generate brings with it greater complexity, higher computational demands, and escalating costs. But do we really need to equip every vehicle with the most expensive LiDAR, radar, and cameras to enable autonomous features? Or is there a smarter, more efficient approach to designing sensor suites?
Join Elizabeth Kao, Director of Product Management for ADAS at Bosch for her keynote at AutoSens USA as she explores how sensor fusion can “right-size” ADAS sensor suites to optimize performance without compromising safety. By combining camera and high-precision radar sensors and leveraging machine learning, we can significantly enhance safety systems, such as Automatic Emergency Braking (AEB), even in challenging conditions like the dark of the night. Discover how this innovative approach can extend detection range and improve system efficiency, paving the way for smarter, more cost-effective ADAS solutions.