Pinned Repositories
avod
Code for 3D object detection for autonomous driving
BJTU-script
Course selection@BJTU
DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
EnhancedLiDAR
Enhance LiDAR pointcloud based on stereo image.
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
jerry99s.github.io
LipsNet
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control (ICML 2023)
NonZeroSum_Driving
Traffic_Flow_Prediction
Forcast traffic flow on highway using LSTM based on PyTorch
xjsong99's Repositories
xjsong99/EnhancedLiDAR
Enhance LiDAR pointcloud based on stereo image.
xjsong99/LipsNet
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control (ICML 2023)
xjsong99/Traffic_Flow_Prediction
Forcast traffic flow on highway using LSTM based on PyTorch
xjsong99/NonZeroSum_Driving
xjsong99/avod
Code for 3D object detection for autonomous driving
xjsong99/BJTU-script
Course selection@BJTU
xjsong99/DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
xjsong99/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
xjsong99/frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
xjsong99/jerry99s.github.io
xjsong99/pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
xjsong99/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
xjsong99/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
xjsong99/second.pytorch
SECOND for KITTI/NuScenes object detection
xjsong99/Tools_make_planes
AVOD needs the planes file to provide ground plane information, but the official planes generation tool has not yet been provided, which brings great difficulty to the test work. This project is used to generate planes files especially for AVOD testing.