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LIDAR DATA SEGMENTATION FOR TRACK
CLEARANCE ANOMALY DETECTION ON
OVER-HEAD POWER LINES
by
Alberto Vale, João Gomes-Mota
Albatroz Engineering, Lisbon, Portugal
presented at
DECOM2007 - IFAC Workshop Technology Transfer in Developing Countries:
Automation in Infrastructure Creation - TT
May 17 - 18, 2007, Ýzmir, TURKEY
Abstract
A real time solution is proposed to inspect over-head power lines for track
clearance anomalies using a helicopter. Anomaly definition is based on preset safety
distances to different types of obstacles in the vicinity of the power line. These distances yield significant hazard reductions and improvement in quality of service. The solution uses relative distances between objects measured using LIDAR and GPS data to create a
3D model of the power line region. The paper focuses on data segmentation and anomaly identification algorithms and their performance on field results.
Keywords
Solid-state lasers, Global Positioning Systems, Data Segmentation,
Probabilistic Risk Assessment, Safety, Power Lines, Airborne, LIDAR