Jinhee Kim's starred repositories
Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
lane-detection
Road Lane detection using FPGA accelerated co-processing
ImageFiltering_CUDA
Image Filtering using CUDA
Lane_Detection
High Performance Lane Detection using Computer Vision and CUDA.
slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
cnn-quantization
Quantization of Convolutional Neural networks.
PointPillars
A Simple PointPillars PyTorch Implenmentation for Wheelchair Detection using 3D Lidar PointCloud
Esp32-BLE-Multi-Client-with-Deep-Sleep-
this project purpse is short range wireless control, esp32 ble use with deep sleep and power saving example,
pred_fusion
Object Trajectory Prediction using ROS, YOLOv5, PointPillars, CRAT-Pred
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.
robot_localization
A ROS package for real-time nonlinear state estimation for robots moving in 3D space. It contains two state estimation nodes which use Kalman filters (EKF/UKF) for real-time sensor fusion.
Lane_Detection_in_Self_Driving_Cars
The main objective of this project is to design a system using Open CV that can detect lane lines and estimate vehicular offset value with the help of lane curvature.
AutonomousParking
Computational Introduction to Robotics Final Project: Neato autonomous parking
Automatic-Parking
Automatic parking with Reinforcement Learning (Q learning with epsilon greedy algorithm) in simulation. A parking environment is created in both Matplotlib and Gazebo.
jackal_dataset_20170608
Bag files captured using a Clearpath Jackal Robot, which is equipped with a Velodyne VLP-16 and low-end IMU sensor. The published point cloud topic is \velodyne_points. The published IMU data topic is \imu\data.
loam_velodyne
Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
3D-LIDAR-SLAM-RESOURCE
This project will collect the 3d_lidar_SLAM open resource, which include VO, Mapping and so on....
lidar_slam_3d
3d lidar slam package.
FAST_LIO_SLAM
LiDAR SLAM = FAST-LIO + Scan Context
hdl_graph_slam
3D LIDAR-based Graph SLAM