Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots

Author(s):  
Takashi Tsubouchi ◽  
Asuka Asano ◽  
Toshihiko Mochizuki ◽  
Shuhei Kondou ◽  
Keiko Shiozawa ◽  
...  
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 73593-73601 ◽  
Author(s):  
Binghua Guo ◽  
Hongyue Dai ◽  
Zhonghua Li ◽  
Wei Huang

1990 ◽  
Vol 20 (4) ◽  
pp. 464-483 ◽  
Author(s):  
Donald G. Leckie

Canadian forest management has had a long history of developing and implementing remote sensing technology and is a major user of remote sensing. Despite difficulties in developing and implementing new digital remote sensing techniques, several key developments in Canadian forest management and in remote sensing and computer technology make the development and implementation of new remote sensing techniques at this time feasible and appropriate. Integration of different remote sensing technologies, remote sensing data with other information sources through geographic information systems, and remote sensing interpretations with forest management systems and practices are critical. Current capabilities and new advances in remote sensing technology for forest survey (excluding forest damage assessment) are discussed. Satellite imagery is a cost-effective tool for broad forest type mapping. New satellite systems improve this capability, but their major impact will be in inventories for new clear-cut and burned areas. Advances in linear array imager technology and lidar systems may lead to development of an end to end inventory mapping system. This system would provide an alternative to aerial photography and current mapping methods and could revolutionize the way forests are inventoried. Imaging spectrometry is a new technology with applications in damage assessment, but as yet has limited potential for assisting in other forest surveys. Spaceborne imaging radar systems are being developed for the 1990s. These systems can produce imagery under cloudy conditions. Their major impact on forestry will be to provide an alternative to visible-infrared satellite data for inventory update.


2021 ◽  
Author(s):  
M. Grosse Besselmann ◽  
L. Puck ◽  
L. Steffen ◽  
A. Roennau ◽  
R. Dillmann

2019 ◽  
Vol 87 ◽  
pp. 01028
Author(s):  
Ankit Deo ◽  
Ayush Gupta ◽  
Himanshu Khemani ◽  
Rashmi Ranjan Das

In control of mobile robots, precision plays a key role in path tracking. In this paper we have intended to use hybrid stepper motors for precise control of the two wheeled robot. A control algorithm was developed to control the robot along different trajectories. We have found that stepper motors are more accurate for path tracking than normal DC motors with wheel encoders and one can obtain the implicit coordinates of the robot in runtime more precisely. Getting the precise coordinates of the robot at runtime can be used in various SLAM and VSLAM techniques for more accurate 3D mapping of the environment.


2018 ◽  
Vol 155 ◽  
pp. 01055
Author(s):  
Trang Nguyen Hoang Thuy ◽  
Stanislav Shydlouski

Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces. Update maps before a certain area while tracking current location and distance. The motivation behind writing this paper is mainly to help us better understand about SLAM and the study situation of SLAM in the world today. Through this, we find the optimal algorithm for moving robots in three dimensions.


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