aelectr Goto Github PK

aelectr

Config files for my GitHub profile.

autonomous-driving

In this project, we try to implement methods for static and dynamic object detection, localization and mapping, behavior and maneuver planning, and vehicle control, by using realistic vehicle physics and complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry in CARLA Self-driving car environment with my mentor ​ Dr. Abdurrahman Gümüş and my teammate Ali Verep.

carla

Open-source simulator for autonomous driving research.

carla-car-detection

An application of Tensorflow's object detection API to the Carla simulator

carla_3d_tracking

carnd-vehicle-detection

Vehicle detection using YOLO in Keras runs at 21FPS

detecting-and-tracking-vehicles

Detecting Vehicles using YOLOv3 model and tracking them by means of Kalman Filter

final-project-on-large-cap-crypto-trading-with-macroeconomical-variables

This is final project repository of ML for trading class on large cap crypto trading based on macroeconomical variables

github-slideshow

A robot powered training repository :robot:

lane-and-vehicles-detection

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

machine-learning

car detect

markdown-portfolio

merge-conflicts

multi-object-tracking-with-kalman-filter

multiple-object-tracking-using-kalman-filter

object-tracking-using-kalman-filter

Provides effective tracking of multiple objects in video feed even under occlusion and with overlapping of objects. Applied Laplacian of Gaussian Detection to detect the moving objects. Implemented the kalman filter, providing accurate predictions of the object locations in the subsequent frames. Applied the munkres assignment algorithm to associate the detections with the correct predictions.

orb-slam2-based-ar-on-android

This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL，which can work well on both outdoor and indoor environments

paperdemopresentation

practical-hw1

Repository for the Algorand class of the "Building with Blockchain for Web 3.0" course (https://buildweb3.org)

real-time-carla-kalman-filter

A tutorial to understand Kalman filter with real-time trajectory estimation in Carla simulator

self-driving-car-projects

Autonomous Vehicle Projects using the CARLA simulation environment

simply_car_tracking_by_kalman_filter

Track a single car by using Kalman filter

unity5-networking-hlapi-getting-started

An example implementation of HLAPI LAN server-client model.(managing connection with client)

unitydropboxintegration

Dropbox integration inside unity. for easier collaboration between remote users. bypassing use of source control.

vehicle-and-pedestrian-detection-using-haar-cascades

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

vehicle-counting

The vehicle counting procedure offers accurate data on traffic flow, vehicle collisions, and traffic peak times on highways. Using digital image processing technologies on traffic camera video outputs is an acceptable strategy for achieving these goals. The Kalman filter is used to create a vehicle counter-classifier based on a mixture of video-image processing methods such as object detection, edge detection, frame distinction, and the Kalman filter. The proposed technique has been implemented using the Python programming language. The method's accuracy in vehicle counts and classification was assessed, yielding a classification accuracy of around 95% and a vehicle detection target error of about 4%. Vehicle Counting, Vehicle Detection, Traffic Analysis, Object Detection, Video-Image Processing are some of the terms used in this paper.

vehicle-detection

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

vehicle-detection-1

I implemented Vehicle Detection and Tracking algorithm using HOG, SVM, and Kalman filter. This is Udacity Self-Driving CarND Term 1 Project 5: Video for vehicle detection and tracking.

vehicle-detection-2

Build a vehicle detection system for self driving cars

vehicle-detection-and-tracking

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering