AdroitAnandAI / ADAS-Car-using-Raspberry-PiLinks
ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc
☆37Updated 2 years ago
Alternatives and similar repositories for ADAS-Car-using-Raspberry-Pi
Users that are interested in ADAS-Car-using-Raspberry-Pi are comparing it to the libraries listed below
Sorting:
- An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)☆70Updated 2 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆172Updated 4 years ago
- ☆84Updated 3 years ago
- A project to demonstrate lane detection with a front facing camera.☆119Updated last year
- Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.☆81Updated 2 years ago
- Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU☆52Updated 4 years ago
- A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.☆121Updated 4 years ago
- Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradi…☆52Updated 4 years ago
- Implementation of the Automatic Emergency Braking System using deep learning.☆38Updated 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
- A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.☆19Updated 3 years ago
- Lane detection for ADAS application with sliding windows technics☆21Updated 4 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆53Updated 3 years ago
- Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)☆25Updated 5 years ago
- Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence☆41Updated 4 years ago
- Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model …☆42Updated last year
- Stereo based 3D object detection on KITTI dataset using Pytorch implementing the Pseudo LIDAR pipeline with papers: AnyNet & PointPillars…☆47Updated 3 years ago
- Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning☆23Updated 2 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆43Updated 5 years ago
- ☆22Updated 2 years ago
- 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
- An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combin…☆10Updated 4 years ago
- Computer Vision algorithm to detect straight lane lines markings on road using OpenCV Image Processing, Color Masks, Canny Edge Detection…☆27Updated 5 years ago
- This project is my implementation of NVIDIA's PilotNet End to End deep CNN (built with Keras) to clone the behavior of a self driving c…☆9Updated 6 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
- Lane detection and object detetion (YOLO) using OpenCV and python☆33Updated 4 years ago
- ☆50Updated last year
- A 3D Multi Object Tracking using Lidar☆42Updated 2 years ago
- Conditional imitation learning☆62Updated 4 years ago
- Multi objects distance estimation☆15Updated 2 years ago