The goal of this project is to classify the roads of Switzerland based on the type of their surface, artificial or natural.
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Updated
May 21, 2024 - Python
The goal of this project is to classify the roads of Switzerland based on the type of their surface, artificial or natural.
1200-Videos-Potholed-Road-Collection-Data
Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
Multi-Modal Multi-Task (3MT) Road Segmentation, IEEE RA-L 2023
Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
Implementation of paper "Random-Walker Monocular Road Detection in Adverse Conditions Using Automated Spatiotemporal Seed Selection"
Autonomous Formula 1 by camera
we present the plans of a driver-assistance system, which will be capable of road lane and traffic sign detection by using an OPEN-CV.
Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.
Road Lane Dection using OpenCV in python
A Pytorch implementation of DeepCrack and RoadNet projects.
RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.
ENPM673: Project 2 Problem 2 and 3. In this project I detect the road lanes by performing image transformations on each frame of continuous input, further developing the program to also visually predict upcoming turns
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Implements semantic segmentation of road surface using India Driving Dataset (IDD).
Path/Road Following Differential Vehicle Bot.
Road detection based on CNN with keras model
A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.
Neural network to predict and draw traffic lanes.
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