Job Description
Responsibilities
- Design and manage the field data collection pipeline — including body-worn cameras, fixed-position gesture capture cameras, and pole-mounted lane closure cameras deployed at active road worksites
- Annotate, label, and structure video datasets capturing vehicle behaviour, ASO gestures, and traffic compliance events
- Train and optimise computer vision models (YOLOv8 or equivalent) for vehicle detection, trajectory tracking, and driver compliance classification in outdoor road worksite environments
- Calculate traffic safety metrics including Post-Encroachment Time (PET) to identify and prioritise near‑miss events for model training
- Build and refine logit or ML‑based conflict severity models to support edge case identification in the training dataset
- Export trained models to TensorRT and deploy on NVIDIA Jetson Orin NX hardware
- Develop ROS2 integration for deploying the perception pipeline onto a hum...