thiagortk / Road-Surface-ClassificationLinks
In emerging countries it’s common to find unpaved roads or roads with no maintenance. Unpaved or damaged roads also impact in higher fuel costs and vehicle maintenance. This kind of analysis can be useful for both road maintenance departments as well as for autonomous vehicle navigation systems to verify potential critical points. The road type …
☆39Updated 4 years ago
Alternatives and similar repositories for Road-Surface-Classification
Users that are interested in Road-Surface-Classification are comparing it to the libraries listed below
Sorting:
- Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines☆43Updated 2 years ago
- End-to-End Lane detection with One to Several Transformer☆43Updated last year
- Semantic Segmentation in road surfaces, considering different pattern like asphalt, unpaved, potholes, etc.☆55Updated 4 years ago
- A public available dataset for road boundary detection in aerial images☆113Updated last year
- The development kit for RSRD☆25Updated last year
- Object Detection and Object Distance Estimation Net, Keras☆35Updated 6 years ago
- CeyMo: See More on Roads - A Novel Benchmark Dataset for Road Marking Detection (IEEE/CVF WACV 2022)☆71Updated 3 years ago
- ☆56Updated 2 years ago
- Progressive LiDAR Adaptation for Road Detection☆167Updated last year
- We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.☆18Updated last year
- SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020☆326Updated 8 months ago
- Estimating distance to objects in the scene using detection information☆167Updated 3 years ago
- An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)☆71Updated 2 years ago
- Obtain bird's eye view of a scene from a single input image☆105Updated 3 years ago
- Semantic Guided Depth Estimation with Transformers Using Monocular Camera and Sparse Radar☆38Updated 7 months ago
- ☆234Updated 2 years ago
- Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations Implementation☆23Updated 4 years ago
- Depth estimation from single-view RGB images☆8Updated last year
- Papers and code related to 3D object detection☆14Updated 5 years ago
- Projects & Notebooks of Coursera's Self-Driving Cars Specialization.☆12Updated 3 years ago
- RTCnet is a radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-…☆72Updated 3 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆78Updated 4 years ago
- A large-scale road surface image classification dataset for driving assistance applications☆27Updated 2 years ago
- The source code of paper FusionLane☆49Updated 2 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆52Updated 3 years ago
- ☆50Updated last year
- Lane detection and classification in an end-to-end Deep Learning fashion☆90Updated 3 years ago
- This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sig…☆29Updated 3 years ago
- [ECCV 2020] Official PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'☆320Updated 2 years ago
- Urban Drone Dataset(UDD) for "Large-scale Structure from Motion with Semantic Constraints of Aerial Images", PRCV2018☆85Updated 2 years ago