Lane detection for autonomous car using Dynamic mode decomposition

An autonomous parking simulator for Ackermann Steering Model Implemented in Matlab.

Visualization tools to be used for the exploration of publicly available Cirrus Dataset from Luminar and Volvo Car

Model predictive control algorithm implementations for driving situations.

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.

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

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

Tool to design and optimize autonomous vehicle concepts.

MATLAB sample codes for Robotics engineering

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

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.

Spatial-CNN for lane detection in MATLAB.

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

Autonomous Vehicle modelling using MATLAB and Simulink

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…

Certifiable Outlier-Robust Geometric Perception

MATLAB sample codes for mobile robot navigation