BYD Han – L2 ADAS
Overview
As part of the Algorithm Team at Software Motion, I led the development of the Object Trace Module (OTM) and contributed to object detection, road, and ego-motion modules for the BYD Han L2 ADAS system. The OTM is responsible for fusing perception data from the Front-Facing Camera (FFC) and 1 Long-Range Radar (LRR), and 2 Short-Range Radars (SRR) to create stable, temporal object tracks for downstream planning and control.
Key Contributions
- ●Designed the multi-sensor fusion architecture (Camera + Radar + Ego-motion).
- ●Implemented Track-to-Track association logic to handle sensor discrepancies.
- ●Developed a robust Kalman Filter for smooth state estimation of dynamic objects.
- ●Optimized the C codebase for embedded deployment, ensuring MISRA C compliance.
- ●Designed and developed Object Trace Module (OTM) from ground up.
Technologies
CKalman FilterTrack-to-Track AssociationSensor FusionMATLAB PolyspaceSIL/HIL Testing
Team
- Usama Jahangir
- Algorithm Team (China & Iran)