Popular GitHub Repositories for Av Killer

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

Python toolkit for speech processing

Real-time AI-assisted killer whale notification system (model and moderator portal) :star:

An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents

Adobe Photoshop is a professional image editing software that enables users to create, modify, and enhance digital artwork

AV Projects with the CARLA simulator

Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.

EDR & AV Bypass Arsenal— a comprehensive collection of tools, patches, and techniques for evading modern EDR and antivirus defenses.

Code for paper: "Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers"

Tool to design and optimize autonomous vehicle concepts.

SumoWare integrates SUMO and Autoware to enable realistic autonomous vehicle (AV) behavior evaluation in diverse traffic scenarios.

Bosch Challenge: Path Planning Challenge for Self Driving (AV) Cars. Udacity Self-Driving Car Nanodegree

AV Tools - A collection of CLI tools for audio and video processing (powered by AI). Audio transcription, Video to Audio conversion, YouTube downloader.

This C2 Framework serves as a testbed to explore the limitations of state of the art AV and EDR solutions

An interface design to facilitate AV-to-pedestrian interaction

Solves Chess Checkmate Puzzles using simple AI search techniques

Multi Agent Conditional Imitation Learning based system for testing AV software in the CARLA Simulator

本项目为自动驾驶车辆（AV）设计决策和轨迹规划算法，使AV 在多车道交通环境中安全高效地完成换道。考虑到不同的实际交通情况，实验采用强化学习方法实现二次换道甚至多次变道的功能。

Loadiscator is a modular, extensible framework for generating, obfuscating, and delivering payloads for red team operations, adversary simulation, and AV/EDR evasion research. It supports multiple languages, advanced obfuscation, encryption, fileless execution, and C2 integrations. The framework is designed for CLI usage.

Evaluering av universell utforming av ulike kildekode-editorer og blokk-editorer.