Search Results for author:
Found 6 papers, 4 papers with code
Multi-Modal Multi-Task (3MT) Road Segmentation
The inference times obtained in all experiments are very promising for real-time experiments.
LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction
Semantic grids can be useful representations of the scene around an autonomous system.
LAPTNet: LiDAR-Aided Perspective Transform Network
Semantic grids are a useful representation of the environment around a robot.
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
We train our network on the KITTI dataset and perform experiments to show the effectiveness of our network.
Ranked #1 on
Object Localization
on KITTI Pedestrian Easy
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles
Ground plane estimation and ground point seg-mentation is a crucial precursor for many applications in robotics and intelligent vehicles like navigable space detection and occupancy grid generation, 3D object detection, point cloud matching for localization and registration for mapping.
Attentional PointNet for 3D-Object Detection in Point Clouds
In this study, we propose Attentional Point- Net, which is a novel end-to-end trainable deep architecture for object detection in point clouds.
