Pedestrian 3D Bounding Box Prediction

Understand

Safety is still the main issue of autonomous driving, and in order to be globally deployed, they need to predict pedestrians' motions sufficiently in advance.

• While there is a lot of research on coarse-grained (human center prediction) and fine-grained predictions (human body keypoints prediction), we focus on 3D bounding boxes, which are reasonable estimates of humans without modeling complex motion details for autonomous vehicles.
• This gives the flexibility to predict in longer horizons in real-world settings.
• We suggest this new problem and present a simple yet effective model for pedestrians' 3D bounding box prediction.