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The Effects of Path-Planning Uncertainty on Intelligent Vehicle Performance.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Effects of Path-Planning Uncertainty on Intelligent Vehicle Performance./
作者:
Tau, Seth Allen.
面頁冊數:
1 online resource (270 pages)
附註:
Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Contained By:
Dissertations Abstracts International83-06B.
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28929513click for full text (PQDT)
ISBN:
9798494499288
The Effects of Path-Planning Uncertainty on Intelligent Vehicle Performance.
Tau, Seth Allen.
The Effects of Path-Planning Uncertainty on Intelligent Vehicle Performance.
- 1 online resource (270 pages)
Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Thesis (Ph.D.)--The Pennsylvania State University, 2021.
Includes bibliographical references
In the field of ground robotics, off-road path planning is a challenging problem that arises in such wide-ranging applications as construction, farming, mining, planetary exploration, and military robotics. The focus of this work is on discovering the relationships between uncertainties present in the path planning process for intelligent vehicles and the mobility of these vehicles in off-road environments. Specifically, this work examines uncertainty in the obstacle maps generated for path planning and uncertainty due to errors in the sensing process and shows how they are related to the total traversal distance. Additionally, a method for obtaining an approximation of an average speed that produces a time-minimum traversal of the obstacle field while maintaining a sufficient distance between the vehicle and the obstacles is described.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798494499288Subjects--Topical Terms:
523869
Computer science.
Subjects--Index Terms:
Off-road path planningIndex Terms--Genre/Form:
542853
Electronic books.
The Effects of Path-Planning Uncertainty on Intelligent Vehicle Performance.
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Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
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In the field of ground robotics, off-road path planning is a challenging problem that arises in such wide-ranging applications as construction, farming, mining, planetary exploration, and military robotics. The focus of this work is on discovering the relationships between uncertainties present in the path planning process for intelligent vehicles and the mobility of these vehicles in off-road environments. Specifically, this work examines uncertainty in the obstacle maps generated for path planning and uncertainty due to errors in the sensing process and shows how they are related to the total traversal distance. Additionally, a method for obtaining an approximation of an average speed that produces a time-minimum traversal of the obstacle field while maintaining a sufficient distance between the vehicle and the obstacles is described.
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