SaeedRahmani

AV-HV__Interaction

This repository includes the algorithms, codes, other repositories, and in general any resources that are useful for studying the interaction between AVs and Hvs (Ongoing project)

Car_Following_Models

This project aims to produce several car following models, including the IDM, IDM+, LSTM-based, and CNN-based models.

DRL_MPC_for_AVs

This project is developing a hybrid DRL-MPC model for motion planning of AVs at unsignalized intersection. The work is based on the Highway Env (https://github.com/Farama-Foundation/HighwayEnv)

edge_case_detection

This projects includes scripts for identifying edge cases in the context of autonomous driving

MPC_for_AV_at_Intersection

This code implements a 2D Model Predictive Control for an autonomous vehicle at an intersection with the presence of other vehicles.

Unsignalized_AV_HV

Vehicle-Trajectory-Extraction-Image-Processing-

The MATLAB code for Vehicles Trajectory Extraction

SaeedRahmani/AV-HV__Interaction

This repository includes the algorithms, codes, other repositories, and in general any resources that are useful for studying the interaction between AVs and Hvs (Ongoing project)

SaeedRahmani/MPC_for_AV_at_Intersection

This code implements a 2D Model Predictive Control for an autonomous vehicle at an intersection with the presence of other vehicles.

SaeedRahmani/Car_Following_Models

This project aims to produce several car following models, including the IDM, IDM+, LSTM-based, and CNN-based models.

SaeedRahmani/Vehicle-Trajectory-Extraction-Image-Processing-

The MATLAB code for Vehicles Trajectory Extraction

SaeedRahmani/2D-Robotic-Team_RoboCup

SaeedRahmani/DRL_MPC_for_AVs

This project is developing a hybrid DRL-MPC model for motion planning of AVs at unsignalized intersection. The work is based on the Highway Env (https://github.com/Farama-Foundation/HighwayEnv)

SaeedRahmani/edge_case_detection

This projects includes scripts for identifying edge cases in the context of autonomous driving

SaeedRahmani/Unsignalized_AV_HV

SaeedRahmani/anomaly_outlier_detection

This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

SaeedRahmani/apollo

An open autonomous driving platform

SaeedRahmani/autoware

Autoware - the world's leading open-source software project for autonomous driving

SaeedRahmani/DCRNN_PyTorch_Saeed

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch Modified by Saeed Rahmani

SaeedRahmani/DeepLearning_TUDelft

Assignment for the Deep Learning Course at TU Delft CS Department

SaeedRahmani/Dittlab-PhD

SaeedRahmani/Github-Copilot_Workshop

SaeedRahmani/HighwayEnv

A minimalist environment for decision-making in autonomous driving

SaeedRahmani/Intersection_MPC-RL

SaeedRahmani/nuplan-devkit

The devkit of the nuPlan dataset.

SaeedRahmani/On_Ramp_Merge_Safe_RL

we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario

SaeedRahmani/openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

SaeedRahmani/scenarionet

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

SaeedRahmani/TrafficBots

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023.

SaeedRahmani/trajdata

A unified interface to many trajectory forecasting datasets.

SaeedRahmani/Trajectory_Deviation

This repo includes codes for comparing two trajectories to see if they deviate from each other or not. This can be used for identifying deviation of observed trajectory of an autonomous vehicle from its planned trajectory.

SaeedRahmani/Trajectory_Smoothing

Different Methods to Smoothen the Vehicle Trajectories based on Waymo and Lyft datasets

SaeedRahmani/Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

SaeedRahmani/TUDelft_Mobility_Assignment

This is a Repository for the Assignment of PhD Position on Interactive Multi-scale Visualization of Mobility Networks.

SaeedRahmani/tuplan_garage

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

SaeedRahmani/waymax

A JAX-based simulator for autonomous driving research.

SaeedRahmani/website_checker