G-VTM: A Multimodal Vision-Trajectory Model for Generalized Vehicle Trajectory Prediction

Vehicle Multimodal Trajectory Prediction Integrating Kinematics and Dynamic Interaction Features

A Stochastic Gating Decoder for multimodal latent variable sampling, adaptively fusing kinematics and data-driven paths to capture driver intention uncertainty while maintaining kinematic consistency is introduced.

TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perception

Dual-Encoder Model with Interactive Time Horizon for Vehicle Trajectory Prediction in Dense Traffic

Highway ramp merging zones represent a typical dense traffic scenario where complex vehicle interactions make accurate trajectory prediction particularly challenging. This paper proposes a novel dual-encoder model with an interactive time horizon mechanism to address these challenges. The model employs independent enco...

VIPS: Vehicle-Infrastructure Cooperative Planning Benchmark via Pseudo-Simulation

End-to-end autonomous driving in urban environments requires robust decision-making under partial observability and complex multi-agent interactions. Severe occlusions and dense traffic at intersections limit the perception capability of single-agent systems, motivating recent efforts on Vehicle-to-Infrastructure (V2I)...

Road-Constrained Vehicle Trajectory Recovery from Traffic Video Using Spatio-Temporal Voxel Representation

Road-constrained trajectory recovery from traffic surveillance videos has become a critical component in applications ranging from intelligent transportation to urban planning. Existing approaches typically perform explicit camera-road matching, which either relies on labor-intensive camera calibration or suffers from...

Local Lane Graph Conditioning as a General Inductive Bias for Trajectory Prediction: A Multi-Architecture Study on the Waymo Open Motion Dataset

Accurate trajectory prediction is critical for autonomous driving safety and energy-efficient motion planning in sustainable urban mobility. This study isolates the effect of local lane graph conditioning by proposing a waterflow method that extracts an ego-centric lane topology via breadth-first traversal of the HD ma...