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Found 4 papers, 1 papers with code
Interpretable Goal-Based model for Vehicle Trajectory Prediction in Interactive Scenarios
The abilities to understand the social interaction behaviors between a vehicle and its surroundings while predicting its trajectory in an urban environment are critical for road safety in autonomous driving.
3D Semantic Scene Completion: a Survey
Semantic Scene Completion (SSC) aims to jointly estimate the complete geometry and semantics of a scene, assuming partial sparse input.
Ranked #9 on
3D Semantic Scene Completion
on NYUv2
LMSCNet: Lightweight Multiscale 3D Semantic Completion
We introduce a new approach for multiscale 3Dsemantic scene completion from voxelized sparse 3D LiDAR scans.
Ranked #4 on
3D Semantic Scene Completion
on KITTI-360
3D Surface Reconstruction from Voxel-based Lidar Data
To achieve fully autonomous navigation, vehicles need to compute an accurate model of their direct surrounding.
