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A Robust Look-ahead Distance Tuning Strategy for the Geometric Path Tracking Controllers
2018 IEEE Intelligent Vehicles Symposium (IV), 2018Geometric path tracking controllers are very popular to be implemented in the autonomous vehicles because of its simple implementation and validation in the practical applications. However, it also suffered from the sensitivity to the selections of the look-ahead distance.
Longsheng Chen +3 more
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A comparative study of lane keeping system: Dynamic and kinematic models with look-ahead distance
2015 IEEE Intelligent Vehicles Symposium (IV), 2015In this paper, we propose kinematic vehicle lateral motion model based lane keeping system considering look-ahead distance. The state-space model based on the kinematic vehicle lateral motion model is derived and we design the lane keeping system(LKS) based on the kinematic model.
Chang Mook Kang +2 more
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Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003), 2004
This paper presents a method for realizing a driver compatible steering system for ITS. The method aims to maintain smoothness of the steering system in path following tasks, at not only high speeds but also at mid to low speeds where tighter turns become involved.
Y. Hayakawa +3 more
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This paper presents a method for realizing a driver compatible steering system for ITS. The method aims to maintain smoothness of the steering system in path following tasks, at not only high speeds but also at mid to low speeds where tighter turns become involved.
Y. Hayakawa +3 more
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Interferometric processing to look-ahead bed boundary and measure distance and resistivity
SEG Technical Program Expanded Abstracts 2013, 2013Summary The interferometric processing of the long-spacing lowfrequency LWD resistivity-log data can be used to detect a bed boundary ahead of the tool and to determine the distance to the boundary and the resistivity beyond the boundary. The interferometric signal is zero when the tool is away from the boundary.
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2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), 2014
Method of improving the safety of autonomous vehicles are diverse. In particular, Path Tracking phase which is the last step and important to operate an autonomous vehicle. Method of Path tacking are diverse. Kinematic and dynamic methods is typically methods.
Jun-Beom Park +3 more
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Method of improving the safety of autonomous vehicles are diverse. In particular, Path Tracking phase which is the last step and important to operate an autonomous vehicle. Method of Path tacking are diverse. Kinematic and dynamic methods is typically methods.
Jun-Beom Park +3 more
openaire +1 more source
Adaptive Look-ahead distance for Pure Pursuit Controller with Deep Reinforcement Learning Techniques
Advances in Robotics - 5th International Conference of The Robotics Society, 2021Aakarsh Goel, Shubham Chauhan
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Adaptive Look-Ahead Distance Based on an Intelligent Fuzzy Decision for an Autonomous Vehicle
2023 IEEE Intelligent Vehicles Symposium (IV), 2023Fadel Tarhini +2 more
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Journal of Institute of Control, Robotics and Systems, 2022
Seung-jin Park +2 more
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Seung-jin Park +2 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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