TUMFTM

TUMFTM's Stars

• TUMFTM/global_racetrajectory_optimization

  This repository contains multiple approaches for generating global racetrajectories.

  Language:Python4902612201

• TUMFTM/CameraRadarFusionNet

  Language:Python4181340134

• TUMFTM/mod_vehicle_dynamics_control

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

  Language:MATLAB25513483

• TUMFTM/orbslam-map-saving-extension

  Language:C++250111375

• TUMFTM/GraphBasedLocalTrajectoryPlanner

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

  Language:Python2467256

• TUMFTM/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

  1908027

• TUMFTM/trajectory_planning_helpers

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

  Language:Python15210241

• TUMFTM/sim_vehicle_dynamics

  TUM Roborace Team Software Stack - Vehicle Simulation

  Language:MATLAB1179229

• TUMFTM/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.

  Language:Python10410327

• TUMFTM/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

  Language:Jupyter Notebook934021

• TUMFTM/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.

  Language:Python9010334

• TUMFTM/veh_passenger

  TUM Roborace Team Software Stack - Example Vehicle

  Language:MATLAB626111

• YashTrikannad/f110_rrt_star

  RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car

  Language:C++611511

• TUMFTM/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).

  Language:Python5941512

• TUMFTM/f1-timing-database

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

  45604

• pablopalafox/semantic-depth

  Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines

  Language:Python432215

• TUMFTM/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.

  Language:Python34529

• TUMFTM/TrajectorySupervisor

  Language:Python24403

• TUMFTM/embes

  The repository embes (embedded energy strategy) contains an algorithm to calculate an energy strategy for an all-electric race car in real time.

  Language:Python15202

• TUMFTM/RUMI

  Recursive Uncertainty Model Identification

  Language:Python9303

• TUMFTM/Damper-Defect-Detection-Using-CNN

  Language:Python7103

• TUMFTM/conditionalstateful

  A simple and lightweight event driven state machine library

  Language:Java4101

• TUMFTM/way_chain_generator

  Language:Python1200