Search Results for author: Shigang Yue

Found 22 papers, 2 papers with code

OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2

no code implementations10 Feb 2023 Feng Shuang, Yanpeng Zhu, Yupeng Xie, Lei Zhao, Quansheng Xie, Jiannan Zhao, Shigang Yue

As a vital capability evolutionary survival, it has been extensively studied in neuroscience and is attracting increasing research interest in robotics due to its close relationship with collision detection and navigation.

Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System

no code implementations18 Nov 2022 Hongxin Wang, Zhiyan Zhong, Fang Lei, Xiaohua Jing, Jigen Peng, Shigang Yue

The first subnetwork is designed to extract spatial and temporal motion patterns of cluttered backgrounds by neuronal ensemble coding.

Motion Detection

Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets

no code implementations27 Apr 2021 Hongxin Wang, Jiannan Zhao, Huatian Wang, Cheng Hu, Jigen Peng, Shigang Yue

The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.

Motion Detection

Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds

no code implementations2 Jul 2020 Qinbing Fu, Shigang Yue

The main contributions of this research are on two aspects: 1) the proposed model articulates the forming of both direction-selective (DS) and direction-opponent (DO) responses, revealed as principal features of motion perception neural circuits, in a feed-forward manner; 2) it also shows robust direction selectivity to translating objects in front of cluttered moving backgrounds, via the modelling of spatiotemporal dynamics including combination of motion pre-filtering mechanisms and ensembles of local correlators inside both the ON and OFF pathways, which works effectively to suppress irrelevant background motion or distractors, and to improve the dynamic response.

Complementary Visual Neuronal Systems Model for Collision Sensing

no code implementations11 Jun 2020 Qinbing Fu, Shigang Yue

Inspired by insects' visual brains, this paper presents original modelling of a complementary visual neuronal systems model for real-time and robust collision sensing.

Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

no code implementations9 May 2020 Jiannan Zhao, Hongxin Wang, Shigang Yue

The results have demonstrated that this new model enhances the looming selectivity in complex flying scenes considerably, and has potential to be implemented on embedded collision detection systems for small or micro UAVs.


A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments

no code implementations29 Dec 2019 Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue

Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.

Motion Detection

An LGMD Based Competitive Collision Avoidance Strategy for UAV

no code implementations15 Apr 2019 Jiannan Zhao, Xingzao Ma, Qinbing Fu, Cheng Hu, Shigang Yue

In this paper, we present an LGMD based competitive collision avoidance method for UAV indoor navigation.

Collision Avoidance

Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes

no code implementations15 Apr 2019 Qinbing Fu, Cheng Hu, Pengcheng Liu, Shigang Yue

The presented system is a synthetic neural network, which comprises two complementary sub-systems with four spiking neurons -- the lobula giant movement detectors (LGMD1 and LGMD2) in locusts for sensing looming and recession, and the direction selective neurons (DSN-R and DSN-L) in flies for translational motion extraction.

Collision Avoidance Decision Making +1

A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds

1 code implementation8 Apr 2019 Hongxin Wang, Jigen Peng, Xuqiang Zheng, Shigang Yue

The directional contrast and the extracted motion information by the motion pathway are integrated in the mushroom body for small target discrimination.

Motion Detection

A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios

no code implementations3 Apr 2019 Qinbing Fu, Nicola Bellotto, Huatian Wang, F. Claire Rind, Hongxin Wang, Shigang Yue

This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios.

Autonomous Vehicles

Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds

no code implementations18 Mar 2019 Hongxin Wang, Jigen Peng, Qinbing Fu, Huatian Wang, Shigang Yue

To address this issue, we develop a new visual system model for small target motion detection against cluttered moving backgrounds.

Motion Detection

A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment

no code implementations23 Aug 2018 Qinbing Fu, Nicola Bellotto, Shigang Yue

With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely low-level visual processing, so as to implement direction selective neurons in the fly's visual system, which are mainly sensitive to wide-field translational movements in four cardinal directions.

A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds

no code implementations1 May 2018 Hongxin Wang, Jigen Peng, Shigang Yue

However, if there exists a feedback loop in the STMD visual pathway or if a feedback loop could significantly improve the detection performance of STMD neurons, is unclear.

Motion Detection

2D Reconstruction of Small Intestine's Interior Wall

no code implementations15 Mar 2018 Rahman Attar, Xiang Xie, Zhihua Wang, Shigang Yue

The proposed new wireless endoscopic image stitching method consists of two main steps to improve the accuracy and efficiency of image registration.

Image Registration Image Stitching

An Improved LPTC Neural Model for Background Motion Direction Estimation

no code implementations22 Jan 2018 Hongxin Wang, Jigen Peng, Shigang Yue

A class of specialized neurons, called lobula plate tangential cells (LPTCs) has been shown to respond strongly to wide-field motion.

A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds

1 code implementation20 Jan 2018 Hongxin Wang, Jigen Peng, Shigang Yue

Discriminating targets moving against a cluttered background is a huge challenge, let alone detecting a target as small as one or a few pixels and tracking it in flight.

A Bio-inspired Collision Detecotr for Small Quadcopter

no code implementations14 Jan 2018 Jiannan Zhao, Cheng Hu, Chun Zhang, Zhihua Wang, Shigang Yue

The observed results from the experiments demonstrated that the LGMD collision detector is feasible to work as a vision module for the quadcopter's collision avoidance task.

Collision Avoidance

A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor

no code implementations29 Dec 2017 Biao Zhao, Shigang Yue

In this paper we propose a novel image feature matching algorithm, integrating our previous proposed Affine Invariant Feature Detector (AIFD) and new proposed Affine Invariant Feature Descriptor (AIFDd).

3D Object Reconstruction Object Recognition

Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts

no code implementations22 Dec 2017 Qinbing Fu, Cheng Hu, Shigang Yue

The results demonstrated this framework is able to detect looming dark objects embedded in bright backgrounds selectively, which make it ideal for ground mobile platforms.

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