jovsa / speed-challenge-2017Links
Explore how well deep neural networks perform at predicting vehicle speed given just visual data (dashcam video) containing highway and suburban driving.
☆43Updated 7 years ago
Alternatives and similar repositories for speed-challenge-2017
Users that are interested in speed-challenge-2017 are comparing it to the libraries listed below
Sorting:
- ☆65Updated 7 years ago
- predict the frame-wise speed of a car from pre-recorded video.☆27Updated 7 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 7 years ago
- Ryan's contributions to the Comma.ai speed challenge☆38Updated 3 years ago
- Keras implementation of nvidia paper 'Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car'.☆29Updated 3 years ago
- Predicting speed of cars using optical flow analysis and Convolutional neural networks☆13Updated 7 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 8 years ago
- An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.☆81Updated 7 years ago
- Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)☆101Updated 6 years ago
- A End to End CNN Model which predicts the steering wheel angle based on the video/image☆149Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training☆167Updated 4 years ago
- This is an implementation in Pytorch of nvidia's model to build a deep learning neural network for self-driving cars.☆22Updated 6 years ago
- Self Driving Car Engineer Nanodegree System Integration Capstone Project☆46Updated 7 years ago
- Tensorflow Implementation for Nvidia End-to-End Self-Driving Cars☆13Updated 7 years ago
- A minimal YOLO V1 implementation using Keras☆43Updated 2 years ago
- Finding Lane Lines for Self Driving Cars☆44Updated 7 years ago
- A tutorial for using YOLACT in Google Colab☆36Updated 5 years ago
- A baseline segmentation example using the comma10k dataset (WIP)☆79Updated last year
- Vehicle Detection Project☆30Updated 4 years ago
- Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning☆63Updated 3 years ago
- Udacity's Self-Driving Car Nanodegree project files and notes.☆49Updated 8 years ago
- Autopilot written in Keras for Self Driving Cars☆130Updated 6 months ago
- Vehicle detection implemented with you Only Look Once. It's an object detector that uses features learned by a deep convolutional neural …☆27Updated 6 years ago
- Lane Finding Project for Self-Driving Car ND☆58Updated 8 years ago
- ☆8Updated 7 years ago
- ☆15Updated 7 years ago
- Traffic Light Detection using the tensorflow object detection API☆19Updated 5 years ago
- Various networks that could be the basis of a vision system for self-driving cars☆84Updated 7 years ago
- ☆100Updated 2 years ago