Use case

Advanced Driver Assistance Systems

Powering next-generation ADAS with real-time AI perception, sensor fusion, and intelligent decision-making for safer autonomous driving.

Rendering of a DeepGrid-equipped truck on a highway at dusk — Concept render

360° PerceptionMulti-sensor fusion for complete environmental awareness
Safety FirstISO 26262 ASIL-D compliant safety architecture
Real-Time ProcessingSub-10ms latency for critical safety decisions

ADAS AI Platform

Real-time perception + Intelligent decision-making + Safety-critical execution

The automotive industry is rapidly evolving towards autonomous driving, requiring sophisticated AI systems that can perceive, understand, and react to complex driving scenarios in real-time. Deepgrid's ADAS AI Platform delivers the computational power and safety-critical reliability needed for Level 2+ to Level 4 autonomous driving systems, combining advanced sensor fusion, AI perception, and intelligent path planning.

Measured today on the DG-A100 FPGA prototype, the full perception pipeline has 35.96 ms end-to-end latency per frame and runs at 28.12 FPS. That is the time to process a whole frame end to end, a different measure from the safety-decision latency above.

Demonstrator systems run at TiHAN (IIT Hyderabad) and NATRAX Indore for ADAS truck and robotic use cases.