MATLAB sample codes for mobile robot navigation
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Updated
Nov 10, 2018 - MATLAB
MATLAB sample codes for mobile robot navigation
Certifiable Outlier-Robust Geometric Perception
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…
Autonomous Vehicle modelling using MATLAB and Simulink
Implementation of SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction - RAL 2022
Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection
Spatial-CNN for lane detection in MATLAB.
Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
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.
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 Robotics engineering
Tool to design and optimize autonomous vehicle concepts.
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture
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
This RNN classifies the behavior of objects in traffic by their risk, helping Autonomous driving cars to be safer. Part of a Matlab Challange by Mathworks
This is an autonomous vehicle's planning algorithm. This algorithm is based on APOLLO emplanner, based on sampling.
An extension of the MathWorks Automated Driving toolbox to support directed graph creation, path estimation, and vehicle to vehicle communication.
An autonomous parking simulator for Ackermann Steering Model Implemented in Matlab.
Lane detection for autonomous car using Dynamic mode decomposition
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