Johannes Betz's repositories
AutonomousRacing_Literature
Autonomous Literature Overview
velocity_optimization
Optimizes (Maximizes) the velocity profile for a vehicle with respect to physical constraints (e.g., power, force, combined acceleration, ...). Takes into account a variable friction potential between road and tires. Max. power input can be variable (for e.g., energy strategy purpose).
ESweek2021_educationclassA3
This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Drive (and Race!) Autonomous Vehicles"
f1tenth_coursekit
course materials documentation
f1-timing-database
SQLite database containing Formula 1 lap and race timing information for the seasons 2014 - 2019
global_racetrajectory_optimization
This repository contains multiple approaches for generating global racetrajectories.
gopro-py-api
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
laptime-simulation
This repository contains a quasi-steady-state lap time simulation implemented in Python. It can be used to evaluate the effect of various vehicle parameters on lap time and energy consumption.
Lecture_AI_in_Automotive_Technology
This is the github Repository that belongs to the lecture "Artificial Intelligence in Automotive Technology" from the Institute of Automotive Technology of the Technical University of Munich
mod_vehicle_dynamics_control
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
PathPlanning
Common used path planning algorithms with animations.
race-simulation
This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.
racetrack-database
This repository contains center lines (x- and y-coordinates), track widths and race lines for over 20 race tracks (F1 and DTM) all over the world
RUMI
Recursive Uncertainty Model Identification
semantic_depth
Deep learning-based computer vision pipeline that aims to improve situational awareness of an autonomous vehicle by computing the width of the road at a certain depth in front of the car.
sim-donkeycar-f1
This provides a simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Includes all the F1 Circuits
sim_vehicle_dynamics
TUM Roborace Team Software Stack - Vehicle Simulation
TheHiveHooks
This is a python tool aiming to make using TheHive webhooks easier.
veh_passenger
TUM Roborace Team Software Stack - Example Vehicle
Wale-Net
Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning