A review of intelligent systems software for autonomous vehicles

Lyle N. Long, Scott D. Hanford, Oranuj Janrathitikarn, Greg L. Sinsley, Jodi A. Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Citations (Scopus)

Abstract

The need for intelligent unmanned vehicles has been steadily increasing. These vehicles could be air-, ground-, space-, or sea-based. This paper will review some of the most common software systems and methods that could be used for controlling such vehicles. Early attempts at mobile robots were confined to simple laboratory environments. For vehicles to operate in real-world noisy and uncertain environments, they need to include numerous sensors and they need to include both reactive and deliberative features. The most effective software systems have been hierarchical or multi-layered. Many of these systems mimic biological systems. This paper reviews several software approaches for autonomous vehicles. While there are similarities, there are differences as well. Most of these software systems are very difficult to use, and few of them have the ability to learn. Autonomous vehicles promise remarkable capabilities for both civilian and military applications, but much work remains to develop intelligent systems software which can be used for a wide range of applications. In particular there is a need for reliable open-source software that can be used on inexpensive autonomous vehicles.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007
Pages69-76
Number of pages8
DOIs
StatePublished - Sep 25 2007
Event2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007 - Honolulu, HI, United States
Duration: Apr 1 2007Apr 5 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007

Other

Other2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007
CountryUnited States
CityHonolulu, HI
Period4/1/074/5/07

Fingerprint

Autonomous Vehicles
Intelligent systems
Intelligent Systems
Software System
Software
Unmanned Vehicles
Open Source Software
Biological Systems
Mobile Robot
Military
Unmanned vehicles
Sensor
Military applications
Biological systems
Range of data
Mobile robots
Review
Sensors
Air

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Theoretical Computer Science

Cite this

Long, L. N., Hanford, S. D., Janrathitikarn, O., Sinsley, G. L., & Miller, J. A. (2007). A review of intelligent systems software for autonomous vehicles. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007 (pp. 69-76). [4219084] (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007). https://doi.org/10.1109/CISDA.2007.368137
Long, Lyle N. ; Hanford, Scott D. ; Janrathitikarn, Oranuj ; Sinsley, Greg L. ; Miller, Jodi A. / A review of intelligent systems software for autonomous vehicles. Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007. 2007. pp. 69-76 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007).
@inproceedings{b4846a12b3ba45a4bedc780d33c64cae,
title = "A review of intelligent systems software for autonomous vehicles",
abstract = "The need for intelligent unmanned vehicles has been steadily increasing. These vehicles could be air-, ground-, space-, or sea-based. This paper will review some of the most common software systems and methods that could be used for controlling such vehicles. Early attempts at mobile robots were confined to simple laboratory environments. For vehicles to operate in real-world noisy and uncertain environments, they need to include numerous sensors and they need to include both reactive and deliberative features. The most effective software systems have been hierarchical or multi-layered. Many of these systems mimic biological systems. This paper reviews several software approaches for autonomous vehicles. While there are similarities, there are differences as well. Most of these software systems are very difficult to use, and few of them have the ability to learn. Autonomous vehicles promise remarkable capabilities for both civilian and military applications, but much work remains to develop intelligent systems software which can be used for a wide range of applications. In particular there is a need for reliable open-source software that can be used on inexpensive autonomous vehicles.",
author = "Long, {Lyle N.} and Hanford, {Scott D.} and Oranuj Janrathitikarn and Sinsley, {Greg L.} and Miller, {Jodi A.}",
year = "2007",
month = "9",
day = "25",
doi = "10.1109/CISDA.2007.368137",
language = "English (US)",
isbn = "1424407001",
series = "Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007",
pages = "69--76",
booktitle = "Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007",

}

Long, LN, Hanford, SD, Janrathitikarn, O, Sinsley, GL & Miller, JA 2007, A review of intelligent systems software for autonomous vehicles. in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007., 4219084, Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007, pp. 69-76, 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007, Honolulu, HI, United States, 4/1/07. https://doi.org/10.1109/CISDA.2007.368137

A review of intelligent systems software for autonomous vehicles. / Long, Lyle N.; Hanford, Scott D.; Janrathitikarn, Oranuj; Sinsley, Greg L.; Miller, Jodi A.

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007. 2007. p. 69-76 4219084 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A review of intelligent systems software for autonomous vehicles

AU - Long, Lyle N.

AU - Hanford, Scott D.

AU - Janrathitikarn, Oranuj

AU - Sinsley, Greg L.

AU - Miller, Jodi A.

PY - 2007/9/25

Y1 - 2007/9/25

N2 - The need for intelligent unmanned vehicles has been steadily increasing. These vehicles could be air-, ground-, space-, or sea-based. This paper will review some of the most common software systems and methods that could be used for controlling such vehicles. Early attempts at mobile robots were confined to simple laboratory environments. For vehicles to operate in real-world noisy and uncertain environments, they need to include numerous sensors and they need to include both reactive and deliberative features. The most effective software systems have been hierarchical or multi-layered. Many of these systems mimic biological systems. This paper reviews several software approaches for autonomous vehicles. While there are similarities, there are differences as well. Most of these software systems are very difficult to use, and few of them have the ability to learn. Autonomous vehicles promise remarkable capabilities for both civilian and military applications, but much work remains to develop intelligent systems software which can be used for a wide range of applications. In particular there is a need for reliable open-source software that can be used on inexpensive autonomous vehicles.

AB - The need for intelligent unmanned vehicles has been steadily increasing. These vehicles could be air-, ground-, space-, or sea-based. This paper will review some of the most common software systems and methods that could be used for controlling such vehicles. Early attempts at mobile robots were confined to simple laboratory environments. For vehicles to operate in real-world noisy and uncertain environments, they need to include numerous sensors and they need to include both reactive and deliberative features. The most effective software systems have been hierarchical or multi-layered. Many of these systems mimic biological systems. This paper reviews several software approaches for autonomous vehicles. While there are similarities, there are differences as well. Most of these software systems are very difficult to use, and few of them have the ability to learn. Autonomous vehicles promise remarkable capabilities for both civilian and military applications, but much work remains to develop intelligent systems software which can be used for a wide range of applications. In particular there is a need for reliable open-source software that can be used on inexpensive autonomous vehicles.

UR - http://www.scopus.com/inward/record.url?scp=34548808503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548808503&partnerID=8YFLogxK

U2 - 10.1109/CISDA.2007.368137

DO - 10.1109/CISDA.2007.368137

M3 - Conference contribution

AN - SCOPUS:34548808503

SN - 1424407001

SN - 9781424407002

T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007

SP - 69

EP - 76

BT - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007

ER -

Long LN, Hanford SD, Janrathitikarn O, Sinsley GL, Miller JA. A review of intelligent systems software for autonomous vehicles. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007. 2007. p. 69-76. 4219084. (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007). https://doi.org/10.1109/CISDA.2007.368137