Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction

• Published in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 15794 - 15803
• Main Authors: Narayanan, Sriram, Moslemi, Ramin, Pittaluga, Francesco, Liu, Buyu, Chandraker, Manmohan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2021
• Subjects: Benchmark testing; Computer vision; Context-aware services; Couplings; Semantics; Trajectory

Trajectory prediction is a safety-critical tool for autonomous vehicles to plan and execute actions. Our work addresses two key challenges in trajectory prediction, learning multimodal outputs, and better predictions by imposing constraints using driving knowledge. Recent methods have achieved stron...