asujaykk / Road-segmentation-UNET-model
This project aims to develope a Road-Segmentation model for Advanced Driver Assistance System (ADAS)
☆13Updated 2 years ago
Alternatives and similar repositories for Road-segmentation-UNET-model:
Users that are interested in Road-segmentation-UNET-model are comparing it to the libraries listed below
- Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning☆22Updated 2 years ago
- ☆20Updated 2 years ago
- PointPillars TensorRT version pretrained on MMDetection3d with WaymoOpenDataset☆18Updated 2 years ago
- FastBEV-ROS-TensorRT-CPP real time inference including ros1 & ros2☆30Updated 9 months ago
- ☆20Updated 3 years ago
- ENPM673: Project 2 Problem 2 and 3. In this project I detect the road lanes by performing image transformations on each frame of continuo…☆9Updated 2 years ago
- ☆30Updated last year
- 使用ONNXRuntime部署LSTR基于Transformer的端到端实时车道线检测,包含C++和Python两个版本的程序☆20Updated 2 years ago
- Visualization tool for 3D bounding box results of TAO-PointPillars☆32Updated 2 years ago
- BEVFusion implementation in ROS2☆17Updated last month
- TensorRT depth-anything for anyone and anywhere☆14Updated last year
- Lidar apollo instance segmentation CNN☆16Updated 4 years ago
- Multiple Lidar preprocessor for BEVfusion☆9Updated last year
- Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estim…☆13Updated 4 years ago
- PointPillar with TensorRT and ROS 1 for Visualization☆26Updated 10 months ago
- apollo r3.0 感知移植(参考百度开发者套件)☆18Updated 5 years ago
- CenterPoint model trained on livox dataset, and deployed with TensorRT on ros2☆29Updated last year
- ☆11Updated 2 years ago
- [RA-L 2022, S2G2: Semi-Supervised Semantic Bird-Eye-View Grid-Map Generation using a Monocular Camera for Autonomous Driving]☆10Updated 2 years ago
- [IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"☆12Updated this week
- ☆27Updated last year
- Off-Road Perception with DeepLabV3+