New White Paper
Solving Radar’s Reliability Crisis with Physical AI Reasoning
Discover how Atomathic is making radar reliable enough for safety-critical autonomy, outperforming LiDAR on the hardest scenarios using physics-based AI reasoning, not black-box models.
Stable and reliable radar perception remains a critical unsolved challenge in the development of Advanced Driver Assistance Systems (ADAS) and Level 4 Autonomous Vehicles (AVs). The underlying radar problem is ill-posed and must be solved with physics-b ased reasoning.
Atomathic has developed “compute-complete” software that applies physical AI reasoning to resolve the highly ambiguous nature of radar sensing. By pairing AIDAR™ (a physics-informed sparse autoencoder) with AISIR™ (a generative reasoning engine based on wave physics), we resolve the ill-posed nature of radar sensing. AISIR for Radar ™ presents a new safety paradigm for ADAS and Level 4 autonomous vehicles, solving the stability problem that has plagued the industry.