Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach

© 2018 IEEE. This paper presents a vision-based approach to prevent dangerous steering situations when riding a motorcycle in turns. The proposed algorithm is capable of detecting under, neutral or over-steering behavior using only a conventional camera and an inertial measurement unit. The inverse...

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Main Authors: Damon, Pierre-Marie, Hadj-Abdelkader, Hicham, Arioui, Hichem, Youcef-Toumi, Kamal
Other Authors: MIT Materials Research Laboratory
Format: Article
Language:English
Published: IEEE 2022
Online Access:https://hdl.handle.net/1721.1/138045.2
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author Damon, Pierre-Marie
Hadj-Abdelkader, Hicham
Arioui, Hichem
Youcef-Toumi, Kamal
author2 MIT Materials Research Laboratory
author_facet MIT Materials Research Laboratory
Damon, Pierre-Marie
Hadj-Abdelkader, Hicham
Arioui, Hichem
Youcef-Toumi, Kamal
author_sort Damon, Pierre-Marie
collection MIT
description © 2018 IEEE. This paper presents a vision-based approach to prevent dangerous steering situations when riding a motorcycle in turns. The proposed algorithm is capable of detecting under, neutral or over-steering behavior using only a conventional camera and an inertial measurement unit. The inverse perspective mapping technique is used to reconstruct a bird-eye-view of the road image. Then, filters are applied to keep only the road markers which are, afterwards, approximated with the well-known clothoid model. This allows the prediction of the road geometry such as the curvature ahead of the motorcycle. Finally, from the predicted road curvature, the measurements of the Euler angles and the vehicle speed, the proposed algorithm is able to characterize the steering behavior. To that end, we propose to estimate the steering ratio and we introduce new pertinent indicators such as the vehicle relative position dynamics to the road. The method is validated using the advanced simulator BikeSim during a steady turn.
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spelling mit-1721.1/138045.22022-01-11T16:24:51Z Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach Damon, Pierre-Marie Hadj-Abdelkader, Hicham Arioui, Hichem Youcef-Toumi, Kamal MIT Materials Research Laboratory © 2018 IEEE. This paper presents a vision-based approach to prevent dangerous steering situations when riding a motorcycle in turns. The proposed algorithm is capable of detecting under, neutral or over-steering behavior using only a conventional camera and an inertial measurement unit. The inverse perspective mapping technique is used to reconstruct a bird-eye-view of the road image. Then, filters are applied to keep only the road markers which are, afterwards, approximated with the well-known clothoid model. This allows the prediction of the road geometry such as the curvature ahead of the motorcycle. Finally, from the predicted road curvature, the measurements of the Euler angles and the vehicle speed, the proposed algorithm is able to characterize the steering behavior. To that end, we propose to estimate the steering ratio and we introduce new pertinent indicators such as the vehicle relative position dynamics to the road. The method is validated using the advanced simulator BikeSim during a steady turn. 2022-01-11T16:24:50Z 2021-11-09T19:09:05Z 2022-01-11T16:24:50Z 2018-11 2020-08-13T18:06:59Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/138045.2 Damon, Pierre-Marie, Hadj-Abdelkader, Hicham, Arioui, Hichem and Youcef-Toumi, Kamal. 2018. "Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach." 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. en 10.1109/icarcv.2018.8581298 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream IEEE Other repository
spellingShingle Damon, Pierre-Marie
Hadj-Abdelkader, Hicham
Arioui, Hichem
Youcef-Toumi, Kamal
Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title_full Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title_fullStr Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title_full_unstemmed Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title_short Powered Two-Wheeled Vehicles Steering Behavior Study: Vision-Based Approach
title_sort powered two wheeled vehicles steering behavior study vision based approach
url https://hdl.handle.net/1721.1/138045.2
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