Road Safety Assist ADAS:
Objective:
Automated Road Safety Assist systems, such as stop and speed control via road sign detection in ADAS, are crucial for enhancing driver safety and compliance with traffic regulations. By autonomously detecting and interpreting road signs, these systems can assist drivers in adhering to speed limits, stopping at intersections, and navigating through complex traffic conditions more safely and efficiently. This technology reduces the likelihood of accidents caused by human error or oversight, thereby improving overall road safety and traffic management.
Contributions:
- Performed multi-stage trainng of custom Faster-RCNN model for road signs detection.
- Optimized the Faster-RCNN model using quantization techniques and created an inference pipeline in C++ for integration with ADAS software for automated road safety assistance.
Result:
- Enabled real-time road safety assistance by improving road sign detection speed by 20% compared to existing model.
- Facilitated deployment of camera based road safety and traffic regulation assistance feature for robust testing.