SaeedRahmani
Researcher in Artificial Intelligence and Autonomous Vehicles
Delft University of TechnologyDelft, The Netherlands
Pinned Repositories
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's Repositories
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