Potential field based motion planning with steering control and DYC for ADAS
In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance s...
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Universitas Ahmad Dahlan
2017
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Online Access: | http://eprints.utm.my/id/eprint/75669/1/MohdAziziAbdulRahman_PotentialFieldBasedMotionPlanning.pdf http://eprints.utm.my/id/eprint/75669/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1 |
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my.utm.756692018-04-27T01:42:55Z http://eprints.utm.my/id/eprint/75669/ Potential field based motion planning with steering control and DYC for ADAS Wahid, N. Zamzuri, H. Hassan, N. Rahman, M. A. A. T Technology (General) In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle collision avoidance assistance systems can successfully complete the avoidance behavior without colliding. Universitas Ahmad Dahlan 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/75669/1/MohdAziziAbdulRahman_PotentialFieldBasedMotionPlanning.pdf Wahid, N. and Zamzuri, H. and Hassan, N. and Rahman, M. A. A. (2017) Potential field based motion planning with steering control and DYC for ADAS. Telkomnika (Telecommunication Computing Electronics and Control), 15 (2). pp. 853-860. ISSN 1693-6930 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1 |
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T Technology (General) Wahid, N. Zamzuri, H. Hassan, N. Rahman, M. A. A. Potential field based motion planning with steering control and DYC for ADAS |
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In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle collision avoidance assistance systems can successfully complete the avoidance behavior without colliding. |
format |
Article |
author |
Wahid, N. Zamzuri, H. Hassan, N. Rahman, M. A. A. |
author_facet |
Wahid, N. Zamzuri, H. Hassan, N. Rahman, M. A. A. |
author_sort |
Wahid, N. |
title |
Potential field based motion planning with steering control and DYC for ADAS |
title_short |
Potential field based motion planning with steering control and DYC for ADAS |
title_full |
Potential field based motion planning with steering control and DYC for ADAS |
title_fullStr |
Potential field based motion planning with steering control and DYC for ADAS |
title_full_unstemmed |
Potential field based motion planning with steering control and DYC for ADAS |
title_sort |
potential field based motion planning with steering control and dyc for adas |
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Universitas Ahmad Dahlan |
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2017 |
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http://eprints.utm.my/id/eprint/75669/1/MohdAziziAbdulRahman_PotentialFieldBasedMotionPlanning.pdf http://eprints.utm.my/id/eprint/75669/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1 |
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