Fusion of lidar and radar for detection of partially obscured objects

Jim Hollinger; Brett Kutscher; Ryan Close

doi:10.1117/12.2177050

22 May 2015 Fusion of lidar and radar for detection of partially obscured objects

Jim Hollinger, Brett Kutscher, Ryan Close

Proceedings Volume 9468, Unmanned Systems Technology XVII; 946806 (2015) https://doi.org/10.1117/12.2177050
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

The capability to detect partially obscured objects is of interest to many communities, including ground vehicle robotics. The ability to find partially obscured objects can aid in automated navigation and planning algorithms used by robots. Two sensors often used for this task are Lidar and Radar. Lidar and Radar systems provide complementary data about the environment. Both are active sensing modalities and provide direct range measurements. However, they operate in very different portions of the radio frequency spectrum. By exploiting properties associated with the different frequency spectra, the sensors are able to compensate for each other’s shortcomings. This makes them excellent candidates for sensor processing and data fusion systems. The benefits associated with Lidar and Radar sensor fusion for a ground vehicle application, using economical variants of these sensors, are presented. Special consideration is given to detecting objects partially obscured by light to medium vegetation.

Citation Download Citation

Jim Hollinger, Brett Kutscher, and Ryan Close "Fusion of lidar and radar for detection of partially obscured objects", Proc. SPIE 9468, Unmanned Systems Technology XVII, 946806 (22 May 2015); https://doi.org/10.1117/12.2177050

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available