Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic
Trajectory Prediction via Energy Plan Denoising
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic
Trajectory Prediction via Energy Plan Denoising
Pedestrian trajectory prediction plays a pivotal role in the realms of autonomous driving and smart cities. Despite extensive prior research employing sequence and generative models, the unpredictable nature of pedestrians, influenced by their social interactions and individual preferences, presents challenges marked by uncertainty and multimodality. In response, we propose the …