In this talk, Dr. Noam Arkind, CTO and co-founder at Arbe, will examine how next-generation high-resolution radar architectures address these limitations. By combining large virtual apertures, fine Doppler resolution, and enhanced dynamic range, these systems enable significantly improved perception performance.
The session will explore key performance metrics, including range and angular resolution, detection probability versus false alarm rate, and robustness in adverse weather, and demonstrate how these translate into more reliable free-space estimation, improved stationary object handling, and more accurate trajectory prediction for L3 highway autonomy. Attendees will gain a practical framework for understanding why Physical AI will roll out gradually, starting in controlled environments and progressing toward more complex autonomy, and why high-performance sensing, especially automotive-grade radar, is set to play a central role in making that transition safe, scalable, and commercially viable.
