Search Results for author:
Found 4 papers, 1 papers with code
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
With the representation of the ISG, the driving agents aggregate essential information from the most influential elements, including the road agents with potential collisions and the map elements to follow.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
