Chuanxiang Ren
Shandong University of Science and Technology
8 Papers
Chuanxiang Ren is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Computer science & Pattern recognition (psychology). The author has an hindex of 1, co-authored 1 publications.
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Papers
Pomelo Tree Detection Method Based on Attention Mechanism and Cross-Layer Feature Fusion
TL;DR: A pomelo tree-detection method that introduces the attention mechanism and a Ghost module into the lightweight model network, as well as a feature-fusion module to improve the feature-extraction ability and reduce computation is proposed.
Visual Sorting of Express Packages Based on the Multi-Dimensional Fusion Method under Complex Logistics Sorting
TL;DR: Wang et al. as discussed by the authors proposed a multi-dimensional fusion method (MDFM) for visual sorting in actual complex scenes, which is suitable for complex and diverse actual logistics sorting scenes, and improves the efficiency of logistics sorting, which has great application value.
Research on the Platoon Speed Guidance Strategy at Signalized Intersections in the Connected Vehicle Environment
TL;DR: In this paper , the authors proposed a platoon speed guidance strategy to reduce the fuel consumption and delay of the platoon passing through the intersection and smooth traffic oscillation, which includes constant speed guidance, deceleration guidance, acceleration guidance, and stop guidance.
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Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment
TL;DR: In this article , a boundary guidance strategy for traffic congestion region is proposed, which considers the optimal operation state of traffic congestion regions and is divided into two categories according to different destinations of traffic demands.
A Speed Guidance Strategy at Intersections Based on Multiple Regression Analysis in the Connected Vehicles Environment
Chuanxiang Ren,Li Wang,Jinbo Wang +2 more
- 11 Nov 2022
TL;DR: In this article , a speed guidance strategy for signalized intersections in the Connected Vehicles environment is proposed to reduce the delay of vehicles driving through signalized intersection and improve the passing efficiency.