balajiravichandiran Goto Github PK

annotate

Create 3D labelled bounding boxes in RViz

complex-yolov3

PyTorch implementation of Complex-YOLO paper with YoloV3

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

curb_detection

based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor

fullstack-nanodegree-vm

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

lidar_super_resoluation

lidar_undistortion

Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.

lidar_undistortion-1

A header-only program of 3d rotary lidar undistortion using 9-axis imu

pillar-od

pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

rqt_ez_publisher

ROS topic publisher GUI for rqt

sdc-p5

Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

sensorscalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

sfa3d

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

tensorrt_demos

Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines

usb_cam

USB Camera ROS driver

v4l2ucp

ROS wrapper for all Video for Linux Two (V4L2) devices controls.

xtreme1

Xtreme1 - The Next GEN Platform for Multisensory Training Data. #3D annotation, lidar-camera fusion annotation, image annotation and visualation tools are supported!