| sigmaai/self-driving-golf-cart |
243 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
mit |
C++ |
| Be Driven 🚘 |
| jhultman/vision3d |
197 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Python |
| Research platform for 3D object detection in PyTorch. |
| SS47816/lidar_obstacle_detector |
179 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
C++ |
| 3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm |
| visualbuffer/copilot |
178 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision |
| abhi1kumar/DEVIANT |
176 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
C++ |
| [ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection |
| cedricxie/apollo_perception_ros |
155 |
|
0 |
0 |
almost 6 years ago |
0 |
|
12 |
|
C++ |
| Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS |
| abhi1kumar/groomed_nms |
82 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
C++ |
| [CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection |
| cv-core/MIT-Driverless-CV-TrainingInfra |
79 |
|
0 |
0 |
over 4 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| PyTorch pipeline of MIT Driverless Computer Vision paper(2020) |
| mrnabati/RRPN |
65 |
|
0 |
0 |
about 5 years ago |
0 |
|
3 |
mit |
Python |
| Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019) |
| RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection |
63 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
Python |
| Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046 |
