Part I : 3D Object Detection with Waymo Dataset and Complex YOLO; Part II: Sensor Fusion(camera and lidar) using EKF and tracking
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Updated
Jul 7, 2022 - Python
Part I : 3D Object Detection with Waymo Dataset and Complex YOLO; Part II: Sensor Fusion(camera and lidar) using EKF and tracking
using kalman filters for the localization of a fully autonomus bot
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Extended Kalman Filter for self-driving cars with noisy LIDAR and RADAR measuremets in c++
Case study project for Automated Driving
The fifth project in the Udacity Self-Driving Car Engineer Nanodegree: using an extended Kalman filter in C++ to estimate pedestrian pose and trajectory
Simple data assimilation studies
Extended Kalman Filter Project for Self-Driving Car Nanodegree Program
Extended Kalman Filter implementation in C++
This project utilizes an Extended Kalman Filter to estimate the state of a moving object with noisy lidar and radar measurements.
The Kalman Filter applied to simulated environments.
Extendable Particle Filter
My Bachelor's thesis on orientation tracking, including source code
Submission for EKF Project
Utilized a Kalman Filter to estimate the state of a moving object of interest with noise
My attempt to code an extended Kalman filter in Python for Bath Hack 2024.
Self-driving Car Nano-degree. Term 2: Sensor Fusion. Project 1: Extended Kalman Filter
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