TUM - Institute of Automotive Technology

global_racetrajectory_optimization. This repository contains multiple approaches for generating global racetrajectories.

CameraRadarFusionNet. Python

OpenLiDARMap. Zero-Drift Point Cloud Mapping using Map Priors

ORB_SLAM3_RGBL. RGB-L: An Extension to Integrate LiDAR Data into ORB-SLAM3

mod_vehicle_dynamics_control. TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.

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

GraphBasedLocalTrajectoryPlanner. Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.

orbslam-map-saving-extension. C++

EthicalTrajectoryPlanning. An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

Carla-Autoware-Bridge. Carla 0.9.15 and Autoware Universe Humble

Multi_LiCa. Multi - LiDAR-to-LiDAR calibration framework for ROS2 and non-ROS applications

NeuralNetwork_for_VehicleDynamicsModeling. Python

trajectory_planning_helpers. Useful functions used for path and trajectory planning at TUM/FTM

FlexCloud. Georeferencing of Point Cloud Maps

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.

sim_vehicle_dynamics. TUM Roborace Team Software Stack - Vehicle Simulation

FlexMap_Fusion. ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion

Open-Car-Dynamics. C++ Implementation of a Multibody Vehicle Dynamics Simulation

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.

Lecture_Autonomous_Vehicles_Artificial_Intelligence. 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

RadarGNN. A graph neural network for the segmentation and object detection in radar point clouds.

FusionTracking. Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing

DPFT. Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection

teleoperated_driving. C++

Lecture_ADSE. Jupyter Notebook

3DVehicleDynamicsStateEstimation. 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation

truckscenes-devkit. Development Kit for the MAN TruckScenes Dataset

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).

veh_passenger. TUM Roborace Team Software Stack - Example Vehicle

RadarVoxelFusionNet. Python

GMMCalib. LiDAR-to-LiDAR Calibration

f1-timing-database. SQLite database containing Formula 1 lap and race timing information for the seasons 2014 - 2019

EA_Battery_SPMparameterization. Electrochemical lithium-ion battery model of reduced-order to predict unmeasurable cell states for fast charging control in real time. Methods for parameterization of the model based on half and full cell measurements are provided.

YawMomentDiagrams. Tool to generate yaw moment diagrams for vehicle handling analysis.

CamRaDepth. Semantic Guided Depth Estimation with Transformers Using Monocular Camera and Sparse Radar

MiscalibrationDetection. Camera & LIDAR Miscalibration Detection Algorithm

ScenarioArchitect. The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.

Wale-Net. Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning

tsl. Time Series Logging (TSL) Library

edgar_digital_twin. Python

RID. Roof Information Dataset for CV-Based Photovoltaic Potential Assessment

sim_battery_system. MATLAB

TechnoEconomicCellSelection. Helps you select the optimal cell to electrify a long-haul truck from a database containing 160 cells.

TrajectorySupervisor. Python

LOTUS. MATLAB

CaLiV. LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction

MixNet. Structured Deep Neural Motion Prediction of Opposing Vehicles for an Autonomous Racecar

uds-decoder. UDS Decoder zur vereinfachten Umrechnung von Diagnoseabfragen

RadarSeg. Python

Eco_Driving_Toolbox_for_BEVs. Eco-driving toolbox for battery electric vehicles using detailed loss models

AVSensorCoverage. Coverage, redundancy and blind spots of autonomous vehicles

Component_Library_for_Full_Vehicle_Simulations. MATLAB

UrbanEV. Java

Eco-Driving. MATLAB

2RC_ECM. Python

AV_Driving_Cycles. This tool develops driving cycles for specific driving style properties (comfort, consumption, fastness, subjective safety) of AVs.It is an ACC simulation of an AV that follows leading vehicle that drives one of the today known cycles. The parameters of the ACC controller vary depending on the driving style of the AV.

Modular-Quasi-Static-Longitudinal-Simulation-for-BEV. MATLAB

AuVeCoDe. Tool to design and optimize autonomous vehicle concepts.

Damper-Defect-Detection-using-Machine-Learning. MATLAB

RUMI. Recursive Uncertainty Model Identification