GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction

arXiv:2402.19002v1 Announce Type: new
Abstract: Predicting the future trajectories of pedestrians on the road is an important task for autonomous driving. The pedestrian trajectory prediction is affected by scene paths, pedestrian's intentions and decision-making, which is a multi-modal problem. Most recent studies use past trajectories to predict a variety of potential future trajectory distributions, which do not account for the scene context and pedestrian targets. Instead of predicting the future trajectory directly, we propose to use scene context and observed …

abstract arxiv autonomous autonomous driving cs.ai cs.cv decision driving future making modal multi-modal pedestrian pedestrians prediction studies trajectory type