Obstacle detection and safeguarding for a high-speed autonomous hydraulic excavator - Robotics Institute Carnegie Mellon University

Obstacle detection and safeguarding for a high-speed autonomous hydraulic excavator

Patrick (Chris) Leger, Patrick Rowe, John Bares, Scott Boehmke, and Anthony (Tony) Stentz
Conference Paper, Proceedings of SPIE Mobile Robots XIII and Intelligent Transportation Systems, Vol. 3525, pp. 146 - 156, November, 1998

Abstract

Hydraulic excavators are large, powerful machines which are often operated in high-production settings. Successful automation of excavators for mass excavation tasks require safeguarding algorithms which do not negatively impact productivity. We present a two-level sensor-based safeguarding approach which utilizes obstacle detection to prevent collisions and motion detection to halt operation when unanticipated vehicles or people approach the excavator.

BibTeX

@conference{Leger-1998-14797,
author = {Patrick (Chris) Leger and Patrick Rowe and John Bares and Scott Boehmke and Anthony (Tony) Stentz},
title = {Obstacle detection and safeguarding for a high-speed autonomous hydraulic excavator},
booktitle = {Proceedings of SPIE Mobile Robots XIII and Intelligent Transportation Systems},
year = {1998},
month = {November},
volume = {3525},
pages = {146 - 156},
keywords = {obstacle detection, excavation, safeguarding, motion detection},
}