kevindubon / steering_modelLinks
Prediction of Steering Angles for Self-Driving Cars using Deep Learning
☆18Updated 8 years ago
Alternatives and similar repositories for steering_model
Users that are interested in steering_model are comparing it to the libraries listed below
Sorting:
- To train a model to detect German traffic signs with tensorflow object detection API☆34Updated 7 years ago
- A collection of labeled car driving datasets☆115Updated 4 years ago
- ☆66Updated 8 years ago
- A End to End CNN Model which predicts the steering wheel angle based on the video/image☆154Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆78Updated 5 years ago
- Object detection for autonomous navigation systems☆43Updated 3 years ago
- Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.☆51Updated 8 years ago
- ☆12Updated 7 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆127Updated 7 years ago
- This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. T…☆69Updated 7 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆51Updated 8 years ago
- ☆114Updated 2 years ago
- This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Fa…☆77Updated 6 years ago
- Extensive study and research on Udacity Self-driving Car Challenge 2☆10Updated 4 years ago
- ☆28Updated 8 years ago
- Creating a steering wheel angle predictor using Udacity's challenge 2 data.☆12Updated 8 years ago
- Udacity Self-Driving Car Nanodegree - Path Planning Project☆24Updated 7 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆41Updated 8 years ago
- Sample scripts for the Bosch Small Traffic Lights Dataset☆181Updated 5 years ago
- OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars☆245Updated 5 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆59Updated 8 years ago
- label KITTI point cloud (3d) drivable area using provided image annotations (2d)☆16Updated 8 years ago
- Term 1, Project 5 - Udacity Self Driving Car Nanodegree☆20Updated 7 years ago
- Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.☆153Updated 5 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆92Updated 8 years ago
- Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.☆69Updated 7 years ago
- Everything that I code more than twice during my PhD will end up here.☆18Updated 8 years ago
- This repository implements Semantic Segmentation of the Indian Driving Dataset. It contains two architectures to achieve this: FCN8s and …☆12Updated 5 years ago