rahulkumarbazia Goto Github PK
Name: Rahul Kumar
Type: User
Company: @continental
Bio: Sensor Fusion, Radar Algorithm Developer
Location: Bengaluru, India
Name: Rahul Kumar
Type: User
Company: @continental
Bio: Sensor Fusion, Radar Algorithm Developer
Location: Bengaluru, India
CANedge API Examples for MDF4/S3
Caltech Lane Detection Software
The Laboratory of Computational Intelligence for RADAR (CI4R)
A tensorflow implementation of CNN in the paper Dexpression: Deep convolutional neural network (https://arxiv.org/abs/1509.05371) by Burkert et al.
A small collection of resources and notes about basic C++
Convolutional Neural Networks
YOLO ROS: Real-Time Object Detection for ROS
Deep Learning Specialization by Andrew Ng on Coursera.
These are Some useful ebook
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Its a simple lane detection using Canny Edge Detection Hough Line detection algorithm.
The devkit of the nuScenes dataset.
Raspbian OS with pre-installed ROS environment will be installed on Raspberry Pi 3. Though it will be just the Raspbian Stretch Lite, so configuring it for the internet connectivity and the installation of Desktop i.e. startx is also explained.
Point cloud generation using mm-wave radar, classification using PointNet/PointNet++, etc.
A curated list of radar datasets, detection, tracking and fusion
The ros package is to interface the AWR1843BOOST EVM with the ROS environment. It returns the data in the PoinCloud2 format along with the other information of the detected objects including velocity, number of detected objects etc.
A graph neural network for the segmentation and object detection in radar point clouds.
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Repository for the course "Sensor Fusion and Non-Linear Filtering" - SSY345 at Chalmers University of Technology
VIP cheatsheets for Stanford's CS 229 Machine Learning
TI mmWave radar ROS driver (with sensor fusion and hybrid)
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
This repository shares the documentation and development kit of the View of Delft automotive dataset.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.