As the application scenarios of helicopters become more and more extensive, it’s low-altitude safety is becoming more and more important. Because of its excellent three-dimensional detection capabilities, Lidar has gradually become an important sensor to solve the problem of helicopter low-altitude flight safety. This article first introduces the lidar point cloud data processing flow for helicopter-assisted navigation, then combines the CSF algorithm and the moving surface fitting idea, proposes an improved point cloud terrain adaptive segmentation method. Experiments show that this method has the advantages of strong adaptability to terrain and high real-time performance on the basis of ensuring a certain accuracy, and it is suitable for ground point cloud segmentation of airborne assisted navigation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.