Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
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Updated
Jun 24, 2024 - MATLAB
Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
This GitHub repository implements two Model Predictive Control (MPC) approaches for active front steering systems in autonomous vehicles. The methods are inspired by groundbreaking scientific papers. The project utilizes MATLAB and Simulink, requiring
An autonomous parking simulator for Ackermann Steering Model Implemented in Matlab.
MATLAB sample codes for Robotics engineering
Certifiable Outlier-Robust Geometric Perception
Autonomous Vehicle modelling using MATLAB and Simulink
This is an autonomous vehicle's planning algorithm. This algorithm is based on APOLLO emplanner, based on sampling.
Model predictive control algorithm implementations for driving situations.
Implementation of SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction - RAL 2022
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture
Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection
Tool to design and optimize autonomous vehicle concepts.
An extension of the MathWorks Automated Driving toolbox to support directed graph creation, path estimation, and vehicle to vehicle communication.
Spatial-CNN for lane detection in MATLAB.
Visualization tools to be used for the exploration of publicly available Cirrus Dataset from Luminar and Volvo Car
Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.
Configures the FMCW waveform based on the system requirements. Then defines the range and velocity of a target and simulates its displacement. For the same simulation loop process, the transmit and receive signals are computed to determine the *beat* signal. Then it performs a Range FFT on the received signal to determine the Range Towards the e…
Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.
MATLAB sample codes for mobile robot navigation
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