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.
☆35Updated 7 months ago
Alternatives and similar repositories for ScenarioArchitect:
Users that are interested in ScenarioArchitect are comparing it to the libraries listed below
- Optimizes (Maximizes) the velocity profile for a vehicle with respect to physical constraints (e.g., power, force, combined acceleration,…☆58Updated 3 years ago
- TUM Roborace Team Software Stack - Vehicle Simulation☆112Updated 2 years ago
- ☆23Updated 3 years ago
- Useful functions used for path and trajectory planning at TUM/FTM☆148Updated 9 months ago
- ☆134Updated 9 months ago
- TUM Roborace Team Software Stack - Example Vehicle☆62Updated 5 years ago
- Readme and script for single-line installation☆48Updated 3 years ago
- Motion Control of Self-Driving Car for Trajectory Tracking☆50Updated 2 years ago
- This repository provides several functions to generate and process race track maps containing specific local information, which is furthe…☆12Updated 3 years ago
- Automatic Conversion of Road Networks from OpenDRIVE to Lanelets☆30Updated this week
- ☆70Updated 5 months ago
- Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.☆244Updated last year
- Open source simulation package for Octave/Matlab☆67Updated 2 years ago
- F1Tenth Simulation Code: Platooning, Computer Vision, Reinforcement Learning, Path Planning☆50Updated last year
- Path tracking with dynamic bicycle models☆97Updated 4 years ago
- C++ Implementation of a Multibody Vehicle Dynamics Simulation☆47Updated 5 months ago
- The repository embes (embedded energy strategy) contains an algorithm to calculate an energy strategy for an all-electric race car in rea…☆14Updated 3 years ago
- TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.☆252Updated 2 years ago
- Autonomous Literature Overview☆96Updated last year
- ☆25Updated 4 years ago
- Interfacing Carla with MATLAB using Python and ROS☆110Updated 2 years ago
- ☆84Updated 4 months ago
- This is another attempt using Frenet Frame OTG for the Udacity ND path planning project (dynamic street scenarios)☆38Updated 5 years ago
- OpenVD: Vehicle Dynamics - Lateral☆96Updated last year
- Structured Deep Neural Motion Prediction of Opposing Vehicles for an Autonomous Racecar☆20Updated last month
- Personalization of Assistive Driving in Carla Simulator☆29Updated 3 years ago
- ☆66Updated 6 years ago
- In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigatin…☆54Updated 4 years ago
- ☆119Updated 4 years ago
- Control strategies used Indy Autonomous Challenge from IUPUI-IITKGP-USB team☆13Updated last year