Active stereo-vision 3D perception system for precise autonomous vehicle hitching

Michael Feller, Jae Sang Hyun, Song Zhang

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

Abstract

This paper presents a low-cost, low-power 3D optical sensor that is fully integrated for feedback control of an autonomous vehicle to a hitch. The hitching problem is an important challenge for vehicles in agricultural and transportation industries, yet few studies have been carried out in literature. We developed a perception system that combines low-accuracy classical stereo vision sensing with higher accuracy active sensing, as well as incorporating adaptive control strategies to tackle the hitching problem. We tested our proposed method on an RC car to approach a model hitch target. Our experiments demonstrated that our system can successfully control the vehicle from within ±35° of perpendicular to the hitch, to a final position with an overall standard deviation of 3.0 mm of lateral error and 1.5° of angular error.

Original languageEnglish
Title of host publication2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages717-722
Number of pages6
ISBN (Electronic)9781728167947
DOIs
Publication statusPublished - 2020 Jul
Event2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020 - Boston, United States
Duration: 2020 Jul 62020 Jul 9

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2020-July

Conference

Conference2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Country/TerritoryUnited States
CityBoston
Period20/7/620/7/9

Bibliographical note

Funding Information:
*This work was funded by NSF (grant No.: IIS-1637961) 1 Michael Feller and Jae-Sang Hyun were graduate students with School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA {feller3,hyun7}@purdue.edu 3 Song Zhang is with Faculty of School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA szhang15@purdue.edu

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

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