Abstract
Abstract
Today’s world there will be always a value for path planning. Be it the use of mobile robots such as UAVs, UGVs, USVs, etc., everything functions based on SLAM input. The input parameter can be extracted by any kind of sensors such as Kinect, LiDAR, etc. Here I am using RPLIDAR(LiDAR) as Sensor for UAV path generation. By getting a single Plan reading from lidar I will generate 3D mapping by a gazebo and visualize it by rviz in ROS. Here we use ROS as an interface of robot and sensor.
Reference11 articles.
1. Vision-aided multi-UAV autonomous flocking in GPS-denied environment;Tang;IEEE Transactions on industrial electronics,2018
2. Obstacle Detection and Obstacle Avoidance Algorithm based on 2-D RPLiDAR;Madhavan,2019
3. SLAM Algorithm Analysis of Mobile Robot Based on Lidar;Xuexi,2019
4. Mapping three-dimensional structures of forest canopy using UAV stereo imagery evaluating impacts of forward overlaps and image resolutions with LiDAR data as reference;Ni;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018
5. Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing;Ohya;IEEE transactions on robotics and automation,1998
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