Vicomtech / video-content-description-VCD
Video Content Description (VCD) is a schema, API and set of tools to produce semantically rich labels from multi-sensorial data series.
☆61Updated 2 years ago
Alternatives and similar repositories for video-content-description-VCD:
Users that are interested in video-content-description-VCD are comparing it to the libraries listed below
- Simple and Easy simulator YOLO Object Detection with Bird's Eye View☆82Updated 4 months ago
- Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.☆79Updated 2 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆52Updated 3 years ago
- Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning☆23Updated 2 years ago
- This repo contains all exercises and corresponding solutions for Sensor Fusion ND.☆41Updated 2 years ago
- An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)☆70Updated 2 years ago
- A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS …☆53Updated 4 years ago
- Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradie…☆7Updated 4 years ago
- This repository accompanies the laboratory practice on Planar Distance Estimation for the AI4Automotive course at University of Modena an…☆29Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradi…☆51Updated 4 years ago
- Drivable area segmentation on driving dataset☆20Updated 5 years ago
- A 3D Multi Object Tracking using Lidar☆40Updated 2 years ago
- Training Deep Neural Networks with Synthetic Data using SVL Simulator☆48Updated 4 years ago
- 3D objects detections in LIDAR point clouds for autonomous driving☆68Updated 3 years ago
- ☆49Updated last year
- YOLOv4 object detector using TensorRT engine☆106Updated 3 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆42Updated 5 years ago
- ☆423Updated 8 months ago
- The official document of the dataset is too general. There are many missing details. This document aims at making it more convenient to u…☆54Updated 3 years ago
- ☆84Updated 3 years ago
- Lane identification system for camera based systems.☆70Updated 7 years ago
- ☆22Updated 2 years ago
- Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.☆71Updated 3 years ago
- TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components☆53Updated 2 weeks ago
- Visualization tool for 3D bounding box results of TAO-PointPillars☆32Updated 2 years ago
- A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.☆118Updated 4 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆168Updated 4 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆125Updated 3 years ago
- ☆39Updated 7 months ago
- Starter Code for the Course 2 project of the Udacity Self-Driving Car Engineer Nanodegree Program☆65Updated last year