Building Towards End-to-End Machine Learning Autonomy: Improving Multi-Object Tracking with a Single, Unified Model

In autonomous driving, multi-object tracking is a fundamental component that identifies, locates and follows all the relevant objects in the driving scene. Unlike object detection, which simply finds objects in a single frame, the tracking module assigns and maintains a unique ID for each object as they move in the scene over time. Essentially, it forms a trajectory for each object, and provides a continuous, real-time understanding of the vehicle’s surroundings to ensure safe and effective driv