Adaptive Cruise Control Employing Taillight Tracking for a Platoon of Autonomous Vehicles
Gian Mayuga,Elmer R. Magsino +1 more
- Vol. 8, Iss: 3, pp 640-645
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The article was published on 2019-06-25 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Platoon & Cruise control.read more
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Proceedings ArticleDOI
Integrated Plate Recognition and Speed Detection for Intelligent Transportation Systems
TL;DR: This paper proposes an integrated system of identifying a vehicle's plate number and associating it with its instantaneous speed, and illustrates a relatively higher percentage of plate number identification and recognition and overspeeding detection.
Proceedings ArticleDOI
A Vision-based Taillight Intention Detection Method for Intelligent and Connected Vehicles
TL;DR: In this paper , a vision-based method of vehicle taillight intention detection for ICVs is proposed based on the YOLOv4 network structure, which detects the vehicle object, and then classifies the intention information within the coordinate range of the detected vehicle object.
A Vision-based Taillight Intention Detection Method for Intelligent and Connected Vehicles
TL;DR: In this article , a vision-based method of vehicle taillight intention detection for ICVs is proposed based on the YOLOv4 network structure, which detects the vehicle object, and then classifies the intention information within the coordinate range of the detected vehicle object.
Book ChapterDOI
Implementing Braking and Acceleration Features for a Car-Following Intelligent Vehicle
TL;DR: In this article , the authors implemented braking and acceleration features for driver assistance in a car-following intelligent vehicle to minimize unnecessary braking and provide appropriate acceleration inputs in order to alleviate traffic buildups.
Book ChapterDOI
Homogeneous Map Partitioning Employing the Effective Regions of Movement Method
TL;DR: In this article , the Effective Regions of Movement (ERM) method is used to irregularly partition a location map into various homogeneous clusters, where the map under study is uniformly partitioned into $$N \times N$$ grids and their corresponding target spatio-temporal stable network characteristics, e.g., vehicular capacity, density, and speed, are calculated to present the map's spatiotemporal snapshot.
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Soohyuk Bang,Soyoung Ahn +1 more