TUM - Institute of Automotive Technology's repositories
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
sim_vehicle_dynamics
TUM Roborace Team Software Stack - Vehicle Simulation
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.
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).
f1-timing-database
SQLite database containing Formula 1 lap and race timing information for the seasons 2014 - 2019
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.
MATLAB2CAD
A series of examples to directly connect MATLAB with CATIA V5
tpa_map_functions
This repository provides several functions to generate and process race track maps containing specific local information, which is further used for trajectory planning or vehicle dynamics simulation.
Hamburg-Public-Charging-Station-Utilization
Public charging station utilization dataset for the city of Hamburg. Dataset is described in the respective paper: Placing BEV Charging Infrastructure: Influencing Factors, Metrics, and their Influence on Observed Charger Utilization
BTMS-Design
Entwicklungstool zur Auslegung von Batteriethermosystemen in verschiedenen Klimabedingungen
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.
SpeziSpezl
A vending machine system with RFID authentification, payment transaction and resupply tracking and PayPal deposit support.
EVRP_optimizer
Coupled fleet, infrastructure and deployment optimization of heterogeneous van fleets with alternative drives (E-C-VRP-HF-TW)
mcube-datahub
MCube-Datahub implementation based on invenio-app-rdm.
physiological-measurements
The package enables you to visually inspect your physiological measurements (EDA and HR) taken with a BITalino(r)evolution toolkit. Furthermore, key parameters can be determined such as EDA_Mean, SCL_Mean, SCR_Frequency,HRV_SDNN, and so on.