Object detection with neural models, deep learning and common sense to aid smart mobility

Abidha Pandey, Manish Puri, Aparna Varde

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

6 Scopus citations

Abstract

The advent of autonomous transportation systems is attracting attention in AI today. Despite how far this area has progressed, there are situations better handled by humans. One of these is distinguishing objects seen for the first time and making decisions accordingly. Hence, our focus in this paper is on object detection, which can potentially enhance autonomous driving and other types of automation in transportation systems. This impacts Smart Mobility in Smart Cities. We provide expanded analysis of recent object detection techniques including neural models, deep learning and related advances. We highlight a novel object detection system called YOLO (You Only Look Once) and conduct its performance evaluation on real-time data. We point out challenges in this field and then explore the use of Commonsense Knowledge (CSK) in object detection with neural models and deep learning, emphasizing the importance of CSK to capture intuitive human reasoning. We explain how this work would potentially enhance autonomous vehicles and transportation systems. This work thus constitutes an exploratory paper that embodies a vision in Smart Mobility.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018
PublisherIEEE Computer Society
Pages859-863
Number of pages5
ISBN (Electronic)9781538674499
DOIs
StatePublished - 13 Dec 2018
Event30th International Conference on Tools with Artificial Intelligence, ICTAI 2018 - Volos, Greece
Duration: 5 Nov 20187 Nov 2018

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2018-November
ISSN (Print)1082-3409

Other

Other30th International Conference on Tools with Artificial Intelligence, ICTAI 2018
CountryGreece
CityVolos
Period5/11/187/11/18

Keywords

  • Autonomous Vehicles
  • Commonsense Knowledge
  • Image Recognition
  • Smart Cities
  • Transportation

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  • Cite this

    Pandey, A., Puri, M., & Varde, A. (2018). Object detection with neural models, deep learning and common sense to aid smart mobility. In Proceedings - 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018 (pp. 859-863). [8576132] (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/ICTAI.2018.00134