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Engin Bozkurt

Elite
@enginBozkurt

CTO and Co-Founder

Error-State-Extended-Kalman-Filter. Vehicle State Estimation using Error-State Extended Kalman Filter

271

LidarObstacleDetection. Lidar Obstacle Detection

260

MotionPlanner. Motion Planner for Self Driving Cars

168

SelfDrivingCarsControlDesign. Self Driving Cars Longitudinal and Lateral Control Design

119

carla-training-data. Generating training data from the Carla driving simulator in the KITTI dataset format

110

Visualizing-lidar-data. Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

93

CarlaSimulatorDataCollector. Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation

27

Environment-Perception-For-Self-Driving-Cars. Visual Perception Stack For Self-Driving Cars

21

CUDA-Programming. GPU Parallel Computing software solution examples with CUDA

14

Object_Detection_With_SSD. Object Detection with Single Shot MultiBox Detector Algorithm

10

Deep-Reinforcement-Learning-for-Enterprise-Nanodegree. Udacity Deep Reinforcement Learning for Enterprise Nanodegree Projects

8

Autonomous-driving-frameworks. Autonomous driving visualization and test frameworks

8

Lymphoma-Cancer-Classification. A PyTorch implementation for differentiating between different types of lymphoma cancer

8

deep-learning-nanodegree. Udacity Deep Learning Nanodegree Projects

8

Data-Science-and-Machine-Learning-Playground. My collection of Data Science and Machine Learning notes and Jupyter notebooks

6

Localization-for-Autonomous-cars. Simulation of Extended Kalman Filter estimation technique using GPS, IMU and Wheel speed infomration

5

Grab_AI. Traffic Management Project - Understanding travel demand and travel patterns within the city.

5

CodilitySolutions. My solutions to the coding problems of Codility in C++

3

PointCompress3D. PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems

3

Competitive-Programming--Bootcamp. Implementations of Competitive Programming, Algorithm Design and Data Structure problems

2

AlgorithmsDataStructures. My notes and implementations in Algorithms, Data Structures , and Competetive programming

2

RailwayTrackLines. Railway Tracking Lines Project

2

LidarMappingReloc. for both lidar mapping and relocalization

1

Deep-Learning-My-Projects. Building deep learning models with Keras

1

Embedded-Systems-Programming. MSP430 and Arduino based Embedded Systems

1

ParticleSimulation. Basic Particle Simulation with C++

1

AlgorithmsAndDataStructures. Algorithms and Data Structures Implementations / Study Playground

1

sim-lidar-imu-fusion. Basic simulation of a LiDAR and IMU system. The results are combined using an Extended Kalman Filter (EKF)

1

PythonMyArchive. My implementations and notes on Python from basic operations to advanced topics including data structures and algorithms.

1

core_perception1. Euclidean Clustering using Hesai Pandar40m LiDAR. Also, the position of the object is output using a polygon.

1

MongoDB-Hands-on-Exercise. Complete developer guide for MongoDb with Mocha tests.

1

RemoteSLAM. Provide building blocks (software, hardware and algorithms) for implementing SLAM using small sensors

1

repoCallForCode. Data Science implementations and models

1

ComputerVision. ComputerVision with Deep Learning(Convolutional Neural Networks)

1

udacity-final-project. Udacity & Google Nanodegree Mobile Web Specialist Track

1