This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
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Updated
Jan 23, 2018 - HTML
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
A framework for the analysis of un(certainty) in traffic, using a crowdsourcing approach.
Jekyll code for the website Computationally Thinking Blog
Multi-Object Tracking and Trajectory Prediction. This repository contains all codes written for SUMMER RESEARCH INTERNSHIP (2021) at AI and Robotics Park (ARTPARK), IISc Bangalore
Project on detecting lane lines on roads in a video stream, using polynomials
[Small] Traffic sign classification using Tensorflow and LeNet.
Application to detect and mark lane lines on the road.
Computer vision project on vehicle detection and tracking on roads
Comparing the performance of MPC based racing and RL based racing
CarND Term1 Traffic Sign Classifier
This repository hosts the Zenseact Open Dataset website.
Inspired by comma.ai OpenPilot idea, this is an AD Autopilot on RaspberryPi based on ROS called RosPilot. The project currently performs lane follow feature. The codebase is written to be modular, enable quick prototyping and facilitate learning and collaboration across multiple users. The hardware used so far is the donkey car robocar + RPI 3
Lokale Navigation von Mikromobilitätsfahrzeugen mittels Reinforcement Learning
📐 Personal GitHub web page. Based on the minimal-mistakes Jekyll theme.
Countdown for all* relevant conferences in the domain of autonomous driving
My personal website
End to End Autopilot Perception Playbook
DriveLM: Driving with Graph Visual Question Answering
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