An approach of making a self driving car.
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Updated
Oct 2, 2017 - Python
An approach of making a self driving car.
Detection of street lane and calculation of curvature and position of a car on the lane using computer vision techniques and algorithms.
Implementation of a convolutional neural network on Keras to drive a car autonomously on a simulator.
A tool to translate Argoverse into KITTI dataset format
A simple Dash app to visualize, modify and optimize global paths for autonomous cars.
This is the project repository for the Autonomous Vehicle Driving course @ Unisa.
Autonomous Driving Application for lane and car detection
a bash cli for Sphero RVR SDK - runs deep learning vision models on a Raspberry Pi using Python and TensorFlow.
Official implementation for "Amodal Optical Flow" (ICRA 2024).
Using Carla simulator for Autonomous Driving
Velocity of car from dashcam video
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
A dataset of multiclass semantic segmentation image annotations (CVAT for Images 1.1) for the first 250 images of the "Duckietown Object Detection Dataset".
Reproducing system-level autonomous driving failures caused by deep learning faults in small test cases
Convert Vegvesen NVDB road network to OpenDrive
Gazebo Simulator for Autonomous Driving
the USC AUV team's logic for path following and task execution
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