Python Road-safety Resources

Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions This repo contains the dataset and code for the paper Benchmarking Ro

AI-For-Road-Safety Challenge hosted by Omdena Hyderabad Chapter Original Repo Link : https://github.com/OmdenaAI/omdena-india-roadsafety Final Present

The Rivet programming language A general-purpose programming language, focused on simplicity, safety and stability. Rivet's goal is to be a very power

ONNX-HybridNets-Multitask-Road-Detection Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONN

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Introduction OpenFed is a foundational library for federated learning

SegNet and Bayesian SegNet Tutorial This repository contains all the files for you to complete the 'Getting Started with SegNet' and the 'Bayesian Seg

Security audit Python project dependencies against security advisory databases.

Amusement Park Ride Safety Analysis Project Proposal We have chosen to look into amusement park data to explore ride safety relationships visually, in

Graphical Password Authentication System. This is used to increase the protection/security of a website. Our system is divided into further 4 layers of protection. Each layer is totally different and diverse than the others. This not only increases protection, but also makes sure that no non-human can log in to your account using different activities such as Brute Force Algorithm and so on.

urban_road_filter: a real-time LIDAR-based urban road and sidewalk detection algorithm for autonomous vehicles Dependency ROS (tested with Kinetic and

Data and extra materials for the food safety publications classifier The subdirectories contain detailed descriptions of their contents in the README.

Find-Lane-Line This project is to use openCV library and Python to detect the road-lane-line. Data Pipeline Step one : Color Selection Step two : Cann

Roadster: Distance to Closest Road Feature Server Milliarium Aerum, the zero of

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery This paper (CoANet) has been published in IEEE TIP 2021. This code i

A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving Isaac Han, Dong-Hyeok Park, and Kyung-Joong Kim IEEE Access

Python-Game General Crossy Road Game using Python code Using code such as function and while using turtle, I was able to recreate a beginner version o

Null Safe Python Null safe support for Python. Installation pip install nullsafe Quick Start Dummy Class class Dummy: pass Normal Python code: o =

NeuroMLR: Robust & Reliable Route Recommendation on Road Networks This repository is the official implementation of NeuroMLR: Robust & Reliable Route

CSM: Construction Safety Management system 1. 서비스 소개 개요: 공사현장에서의 최적의 안전진단기술을 통한 고도화된 시스템으로 개선하고자 함 목표: 안전 관련 주요 시각데이터를 Cross-Domain으로 활용하여 통합 안전 관리기술의

well-architected-review This repo intends to publish some scripts related to Well Architected Reviews. war.py extracts in txt & xlsx files all the WAR

KittiSeg KittiSeg performs segmentation of roads by utilizing an FCN based model. The model achieved first place on the Kitti Road Detection Benchmark

Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving

Road-Crack-Detection-Using-Deep-Learning-Methods This is my Diploma Thesis ¨Road Crack Detection Using Deep Learning Methods¨ under the supervision of

MemSeg: Memory-based semantic segmentation for off-road unstructured natural environments Introduction This repository is a PyTorch implementation of

Jiminy Cricket This is the repository for "What Would Jiminy Cricket Do? Towards Agents That Behave Morally" by Dan Hendrycks*, Mantas Mazeika*, Andy

BEVNet Datasets Datasets should be put inside data/. For example, data/semantic_kitti_4class_100x100. Training BEVNet-S Example: cd experiments bash t

Traffic Monitoring Citation The associated paper for this project will be published here as soon as possible. When using this software, please cite th

PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection

SML (ICCV 2021, Oral) : Official Pytorch Implementation This repository provides the official PyTorch implementation of the following paper: Standardi

SML (ICCV 2021, Oral) : Official Pytorch Implementation This repository provides the official PyTorch implementation of the following paper: Standardi

python-public-API This repository is a public API for solving the problem of the final of the AIIJC competition. The task is to create an AI for the c

PROJECT TITLE: CLEAN/DIRTY ROAD DETECTION USING TRANSFER LEARNING Description: This is a project based on ConvNets used to identify whether a road is

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Y

Outlier Exposure This repository contains the essential code for the paper Deep Anomaly Detection with Outlier Exposure (ICLR 2019). Requires Python 3

Turtle Road Crossing Game in Turtle(python module) In this project we have built a road crossin game in python with Object-Oriebted Programming. This

safe-control-gym Physics-based CartPole and Quadrotor Gym environments (using PyBullet) with symbolic a priori dynamics (using CasADi) for learning-ba

Baby Action Detection Table of Contents About Install Run Predictions Demo About An attempt to harness the power of Deep Learning to come up with a so

BACKGROUND This has been an ongoing project of mine for a few months now. I run trails a lot and original the goal was to create a function to combine

Table of Contents Table of Contents Local Planner Visualization Project (LPVP) Features Installation/Usage Local Planners Probabilistic Roadmap (PRM)

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes Introduction This is the unofficial code of Deep Dual-re

GTA-5-Lane-detection Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and

Topo-boundary This is the official github repo of paper Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images

SNE-RoadSeg Introduction This is the official PyTorch implementation of SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentati

Make your functions return something meaningful, typed, and safe! Features Brings functional programming to Python land Provides a bunch of primitives

SafeOpt - Safe Bayesian Optimization This code implements an adapted version of the safe, Bayesian optimization algorithm, SafeOpt [1], [2]. It also p

Make your functions return something meaningful, typed, and safe! Features Brings functional programming to Python land Provides a bunch of primitives

Safety checks your installed dependencies for known security vulnerabilities. By default it uses the open Python vulnerability database Safety DB, but

typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types

Make your functions return something meaningful, typed, and safe! Features Brings functional programming to Python land Provides a bunch of primitives

typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types