Merging Strategy for Vehicles by Applying Cooperative Tracking Control

Morales-Díaz, América Berenice; Nijmeijer, Henk

doi:10.1109/tits.2016.2553099

“…Each E-puck is attached with a unique marker (2-D barcode) consisting of 3 × 3 blocks. The color of the blocks in the corners is chosen such that the orientation of the marker (thus, the orientation of the E-puck) can be determined [17], [20]. An example of the barcode used in the E-puck is shown in Fig.…”

Section: A Experiments Setupmentioning

confidence: 99%

Combined Longitudinal and Lateral Control of Car-Like Vehicle Platooning With Extended Look-Ahead

Bayuwindra

¹

,

Ploeg

²

,

Lefeber

³

et al. 2020

IEEE Trans. Contr. Syst. Technol.

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“…In this approach, the follower vehicle tracks the current position of the preceding vehicle by using a camera (or lidar) and determines the relative distance with respect to the follower vehicle, commonly known as a "look-ahead" technique. The vehicle-following control was then extended to both longitudinal and lateral control in [11]- [13]. The objective of this longitudinal and lateral vehicle-following control is to minimize the error between the measured relative distance and the desired distance (e.g., spacing policy in CACC), and to minimize the lateral error with respect to the preceding vehicle's path.…”

Section: Introductionmentioning

confidence: 99%

Extended Look-Ahead Tracking Controller With Orientation-Error Observer for Vehicle Platooning

Bayuwindra

¹

,

Lefeber

²

,

Ploeg

³

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Katrakazas, Quddus, Chen and Deka [14] review real-time motion planning methods for merging, encountering intersections and obstacle avoidance. Morales and Nijmeijer [15] evaluate a cooperative tracking controller to keep a certain distance between vehicles. Nishi, Doshi, James and Prokhovov [16] apply a multipolicy decision learning method called passive-actor critic to freeway merging.…”

Section: Introductionmentioning

confidence: 99%

Optimal merging into a high-speed lane dedicated to connected autonomous vehicles

Davis¹

2020

Physica A: Statistical Mechanics and its Applications

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Merging Strategy for Vehicles by Applying Cooperative Tracking Control

Cited by 26 publications

References 21 publications

Combined Longitudinal and Lateral Control of Car-Like Vehicle Platooning With Extended Look-Ahead

Combined Longitudinal and Lateral Control of Car-Like Vehicle Platooning With Extended Look-Ahead

Extended Look-Ahead Tracking Controller With Orientation-Error Observer for Vehicle Platooning

Optimal merging into a high-speed lane dedicated to connected autonomous vehicles

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