A fractional-order visual neural network for collision sensing in noisy and dynamic scenes-Reference-Cited by-同舟云学术

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A fractional-order visual neural network for collision sensing in noisy and dynamic scenes

Published:2023-11 Issue: Volume:148 Page:110897
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Yusi^ORCID,Li Haiyang,Zheng Yi,Peng Jigen

Publisher

Elsevier BV

Subject

Software

Reference58 articles.

1. Airborne radar-based collision detection and risk estimation for small unmanned aircraft systems;Sahawneh;J. Aerosp. Inf. Syst.,2015

2. Improving the obstacle detection and identification algorithms of a laserscanner-based collision avoidance system;Jimenez;Transp. Res. C,2011

3. Using infrared sensors for distance measurement in mobile robots;Benet;Robot. Auton. Syst.,2002

4. Research on collision detection in ultrasonic automatic testing of rotary assembly;Wang;Acta Armamentarii,2018

5. Motion perception based on ON/OFF channels: A survey;Fu;Neural Netw.,2023

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1. Delay-dependent bifurcation conditions in a fractional-order inertial BAM neural network;Chaos, Solitons & Fractals;2024-08

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