
Edge AI: Automotive (ADAS Porting & Integration)
Ported ADAS from Linux to QNX and accelerated edge inference on Texas Instruments hardware, integrating perception sensors and runtime frameworks.
Edge AI: Automotive (ADAS Porting & Integration)
Ported ADAS from Linux to QNX and accelerated edge inference on Texas Instruments hardware, integrating perception sensors and runtime frameworks.
Context
Automotive ADAS teams needed hardened RTOS execution with accelerated inference, multi‑sensor fusion, and a production‑grade console for ops visibility.
What We Engineered
Porting of ADAS (Linux → QNX) on TI Edge AI hardware; accelerated inference via OpenVX, ONNX Runtime, TI DL.
Sensor integrations: camera, radar, LiDAR, ultrasonic, IMU; perception stack for detection/tracking/obstacle detection.
OpenCV + Qt GUI for console visualization.
Intelligence Applied
Hardware‑accelerated perception pipelines with deterministic runtime behavior suitable for ADAS scenarios.
Impact Delivered
Lower latency perception and improved platform stability under RTOS.
Unified sensor fusion path and operator console for validation.
Highlights / Stack
QNX; Texas Instruments Edge AI; OpenVX; ONNX Runtime; TI DL; Camera/Radar/LiDAR/Ultrasonic/IMU; OpenCV; Qt.

