Pinned Repositories
AB3DMOT
Official python implementation for "A Baseline for 3D Multi-Object Tracking"
CurbDetector
Curb detector for HDL-64E.
cvpr17-dvsq
Code release of "Deep Visual-Semantic Quantization of Efficient Image Retrieval" (CVPR 17)
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
fiery
PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
GeneralRoadDetection
Method to general road segmentation
hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines
MultiCameraTracking
Multi-camera tracking algorithm using OpenCv and intel IPP.
sgm_gpu_ros
GPU implementation of SGM for ROS
bdfbdf321's Repositories
bdfbdf321/sgm_gpu_ros
GPU implementation of SGM for ROS
bdfbdf321/MultiCameraTracking
Multi-camera tracking algorithm using OpenCv and intel IPP.
bdfbdf321/AB3DMOT
Official python implementation for "A Baseline for 3D Multi-Object Tracking"
bdfbdf321/CurbDetector
Curb detector for HDL-64E.
bdfbdf321/cvpr17-dvsq
Code release of "Deep Visual-Semantic Quantization of Efficient Image Retrieval" (CVPR 17)
bdfbdf321/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
bdfbdf321/DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
bdfbdf321/fiery
PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
bdfbdf321/GeneralRoadDetection
Method to general road segmentation
bdfbdf321/hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines
bdfbdf321/homemade_stereo_obstacle_detection
Do the obstacle detection work with a stereo camera made by two logic cameras
bdfbdf321/kalibr
The Kalibr calibration toolbox
bdfbdf321/LiDAR
This code is related to LiDAR data processing(mainly Velodyne HDL-64E S2/S3), point set registration and SLAM algorithms.
bdfbdf321/mc-cnn
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
bdfbdf321/MiNoM
MIx-NOrM-based (MiNoM) scan matching
bdfbdf321/Multitarget-tracker
Hungarian algorithm + Kalman filter multitarget tracker implementation.
bdfbdf321/pcl
Point cloud library
bdfbdf321/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
bdfbdf321/second.pytorch
PointPillars for KITTI object detection
bdfbdf321/sgm
Semi-Global Matching on the GPU
bdfbdf321/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
bdfbdf321/StereoVision
separate road using v-disparity. test occupancy grid, stixels
bdfbdf321/StereoVisionforADAS
Stereo vision based object detection for ADAS, autonomous vehicle
bdfbdf321/towards-reid-tracking
Code for the paper "Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters"
bdfbdf321/Velodyne
Velodyne code for KUAFU-1st.
bdfbdf321/Yolo_mark
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2