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Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene
Trajectory forecasting, or trajectory prediction, of multiple interacting agents in dynamic scenes, is an important problem for many applications, such as robotic systems and autonomous driving.
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
To further advance the performance, we propose an interactive loss to guide the generation of the drivable spaces.
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
The hub network takes observed trajectories of all pedestrians to produce a comprehensive description of the interpersonal interactions.
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