Error-State-Extended-Kalman-Filter. Vehicle State Estimation using Error-State Extended Kalman Filter
271LidarObstacleDetection. Lidar Obstacle Detection
260MotionPlanner. Motion Planner for Self Driving Cars
168SelfDrivingCarsControlDesign. Self Driving Cars Longitudinal and Lateral Control Design
119carla-training-data. Generating training data from the Carla driving simulator in the KITTI dataset format
110Visualizing-lidar-data. Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
93CarlaSimulatorDataCollector. Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation
27Environment-Perception-For-Self-Driving-Cars. Visual Perception Stack For Self-Driving Cars
21CUDA-Programming. GPU Parallel Computing software solution examples with CUDA
14Object_Detection_With_SSD. Object Detection with Single Shot MultiBox Detector Algorithm
10Deep-Reinforcement-Learning-for-Enterprise-Nanodegree. Udacity Deep Reinforcement Learning for Enterprise Nanodegree Projects
8Autonomous-driving-frameworks. Autonomous driving visualization and test frameworks
8Lymphoma-Cancer-Classification. A PyTorch implementation for differentiating between different types of lymphoma cancer
8deep-learning-nanodegree. Udacity Deep Learning Nanodegree Projects
8Data-Science-and-Machine-Learning-Playground. My collection of Data Science and Machine Learning notes and Jupyter notebooks
6Localization-for-Autonomous-cars. Simulation of Extended Kalman Filter estimation technique using GPS, IMU and Wheel speed infomration
5Grab_AI. Traffic Management Project - Understanding travel demand and travel patterns within the city.
5CodilitySolutions. My solutions to the coding problems of Codility in C++
3PointCompress3D. PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
3Competitive-Programming--Bootcamp. Implementations of Competitive Programming, Algorithm Design and Data Structure problems
2AlgorithmsDataStructures. My notes and implementations in Algorithms, Data Structures , and Competetive programming
2RailwayTrackLines. Railway Tracking Lines Project
2LidarMappingReloc. for both lidar mapping and relocalization
1Deep-Learning-My-Projects. Building deep learning models with Keras
1Embedded-Systems-Programming. MSP430 and Arduino based Embedded Systems
1ParticleSimulation. Basic Particle Simulation with C++
1AlgorithmsAndDataStructures. Algorithms and Data Structures Implementations / Study Playground
1sim-lidar-imu-fusion. Basic simulation of a LiDAR and IMU system. The results are combined using an Extended Kalman Filter (EKF)
1PythonMyArchive. My implementations and notes on Python from basic operations to advanced topics including data structures and algorithms.
1core_perception1. Euclidean Clustering using Hesai Pandar40m LiDAR. Also, the position of the object is output using a polygon.
1MongoDB-Hands-on-Exercise. Complete developer guide for MongoDb with Mocha tests.
1RemoteSLAM. Provide building blocks (software, hardware and algorithms) for implementing SLAM using small sensors
1repoCallForCode. Data Science implementations and models
1ComputerVision. ComputerVision with Deep Learning(Convolutional Neural Networks)
1udacity-final-project. Udacity & Google Nanodegree Mobile Web Specialist Track
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