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Contextual Tracking in Surface Applications: Algorithms and Design Examples

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, contextual information is discussed for improving tracking of surface vehicles. Contextual information generally involves any kind of information that is not related directly to kinematic sensor measurements. This information, termed trafficability, is used to incorporate constraints on the vehicle that ultimately deflect the tracks to areas that provide the highest trafficable regions. For example, local terrain slope, ground vegetation and other factors that put constraints on the vehicles can be considered as contextual information. Both kinematic sensor data and contextual information are tied into the overall tracker design through the use of trafficability maps. Two specific design examples are summarized in this chapter. The first example involves ground tracking of vehicles where the contextual information exploits terrain information to aid in the tracking. The second example involves a sea-based maritime application where the contextual information exploits depth, marked shipping channel locations, and high-value unit information as contextual information. Both examples show that the use contextual information can significantly improve tracking performance.

Original languageEnglish
Title of host publicationAdvances in Computer Vision and Pattern Recognition
PublisherSpringer Science and Business Media Deutschland GmbH
Pages339-379
Number of pages41
DOIs
StatePublished - 2016

Publication series

NameAdvances in Computer Vision and Pattern Recognition

Keywords

  • Contextual tracking
  • Contextual-based tracker (ConTracker)
  • Kalman filtering
  • Trafficable

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