RovisLab / GridSimLinks
GridSim is an autonomous driving simulator engine that uses a car-like robot architecture to generate occupancy grids from simulated sensors.
☆11Updated 2 years ago
Alternatives and similar repositories for GridSim
Users that are interested in GridSim are comparing it to the libraries listed below
Sorting:
- Simulink Reference example for modeling smart trucks with the intelligence to form a platoon based on certain criteria.☆26Updated 6 years ago
- Part of a research scholarship. I built a basic 2d driving sim with simulated lidar data to train Deep Q Neural Network. So far after abo…☆11Updated 8 years ago
- Python package for Simulink-based reinforcement learning environments.☆11Updated 4 years ago
- OpenVD: Vehicle Dynamics - Longitudinal☆26Updated 4 years ago
- Adaptive Control System Using ML-Tunable Kalman Filters☆19Updated 3 years ago
- A simple highway traffic simulation for self-driving car agents in occupancy grid world☆15Updated 6 years ago
- Path Planning using Generative Adversarial Network (GAN)☆47Updated 4 years ago
- This submission contains a set of models created with Simulink and Powertrain Blockset.☆32Updated 5 years ago
- We will create a map from the reality and put a diferential robot in there with the aim to use an path planning algorithm through reinfor…☆47Updated 5 years ago
- Verifiable Goal Recognition for Autonomous Driving using Decision Trees☆20Updated 3 years ago
- Generative Adversarial Networks for Path Planning in 2D☆26Updated 5 years ago
- Thesis Project: Apply Deep Q-Network to develop an Adaptive Cruise Control and Lane Control agent.☆21Updated 2 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…☆55Updated 5 years ago
- A python package for Guidance, navigation, and control (GNC) of Autonomous Swarms Using Random finite sets (RFS) developed by the Laborat…☆17Updated 3 years ago
- An environment for an obstacle avoidance task☆35Updated 4 years ago
- This submission contains a set of models to show the implementation of a Pure Pursuit controller on a vehicle under different scenarios. …☆33Updated 5 years ago
- On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions☆17Updated 5 years ago
- This is the final project of EECS 461 in University of Michigan. The goal of the project is to simulate Auto steering and Adaptive Cruise…☆27Updated 8 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Urban Environment Simulator Code for Testing your Target Tracking Algorithms.☆38Updated 5 years ago
- ☆23Updated 2 years ago
- My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.☆42Updated 6 years ago
- This project explores making a wireless automatic guided robot which does not require any kind of intrusive modifications to be made to t…☆41Updated 9 years ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Updated 6 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆38Updated 8 years ago
- Implementation of Artificial Potential Field (Reactive Method of Motion Planing)☆64Updated 8 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆51Updated 5 years ago
- Simulation of performance and efficinecy of a hybrid electric vehicle☆34Updated 8 years ago
- Implementing a Reinforcement Learning algorithm based upon a partially observable Markov decision process, applicable in modelling decisi…☆58Updated 5 years ago
- It is highly evident that autonomous vehicles will be the future and it will be a prominent vehicle category in the next decade. For this…☆17Updated 5 years ago