Pinned Repositories
2018AICity_TeamUW
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
AVFI
Fault Injection for Autonomous Vehicles
buildJetsonTX2Kernel
Build the NVIDIA Jetson TX2 Kernel on the device itself
cascaded_ground_seg
The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"
convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
convert2YoloDist
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Distance_measurement_using_single_camera
using single camera to measure the distance opencv python,
Fault_diagnosis_ballbearing_wavelet
Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
je5349's Repositories
je5349/2018AICity_TeamUW
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
je5349/AVFI
Fault Injection for Autonomous Vehicles
je5349/buildJetsonTX2Kernel
Build the NVIDIA Jetson TX2 Kernel on the device itself
je5349/cascaded_ground_seg
The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"
je5349/jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
je5349/kitti
Boston Team for the Udacity/Didi Challenge
je5349/kromo
Realistic Lens Blur/Chromatic Aberration Filter
je5349/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
je5349/librealsense
Intel® RealSense™ SDK
je5349/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
je5349/myahrs_driver
myahrs_driver is a package that provides a ROS driver for the WITHROBOT myAHRS+.
je5349/pcl-release
A fork of the pcl debian repository https://anonscm.debian.org/gitweb/?p=debian-science/packages/pcl.git
je5349/qbo_sigproc
A ROS stack for SigProc's Q.bo
je5349/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
je5349/rl-cheatsheet
RL Notation and Pseudocode for Udacity's MLND program
je5349/robot_localization
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
je5349/ros_qtc_plugins
This repository has been moved to the ros-industrial organization: https://github.com/ros-industrial/ros_qtc_plugin
je5349/ros_rslidar
ROS drvier for RS-LiDAR-16 and RS-LiDAR-32
je5349/ros_tutorial_kr
ROS Tutorial which translated into Korean
je5349/serial-example
Simple use of http://wjwwood.io/serial/ library with ROS
je5349/SmartCar
je5349/tensorflow_object_detector_SSD
Tensorflow Object Detector
je5349/TestRepo
je5349/yolo_v3-tensorflow-ipynb
This repository shows how to deploy YOLO object detection algorithm in tensorflow using python version 3, specifically in Jupyter Notebook.