A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system

نویسندگان

  • Richard Stafford
  • Roger D. Santer
  • F. Claire Rind
چکیده

The lobula giant movement detector (LGMD) of locusts is a visual interneuron that responds with an increasing spike frequency to an object approaching on a direct collision course. Recent studies involving the use of LGMD models to detect car collisions showed that it could detect collisions, but the neuron produced collision alerts to non-colliding, translating, stimuli in many cases. This study presents a modified model to address these problems. It shows how the neurons pre-synaptic to the LGMD show a remarkable ability to filter images, and only colliding and translating stimuli produce excitation in the neuron. It then integrates the LGMD network with models based on the elementary movement detector (EMD) neurons from the fly visual system, which are used to analyse directional excitation patterns in the biologically filtered images. Combining the information from the LGMD neuron and four directionally sensitive neurons produces a robust collision detection system for a wide range of automotive test situations.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robust Models for Optic Flow Coding in Natural Scenes Inspired by Insect Biology

The extraction of accurate self-motion information from the visual world is a difficult problem that has been solved very efficiently by biological organisms utilizing non-linear processing. Previous bio-inspired models for motion detection based on a correlation mechanism have been dogged by issues that arise from their sensitivity to undesired properties of the image, such as contrast, which ...

متن کامل

A Bio-inspired Obstacle Avoidance System Concept for Visually Impaired People

A device that could assist a blind or a visually impaired human and also replace the traditional tools like white canes or guiding dogs can be really challenging. An important condition for a person to move freely in an enviroment is to be able to detect any obstacle which may interfere with the trajectory of motion in order to avoid a possible collision with that obstacle. This article present...

متن کامل

User Identification: Bio-Inspired Visual User Detection

This paper describes the bio-inspired visual detection for the smart user experience based on neuromorphic system, mimicking the visual cortex. The neuromorphic system is investigated for visual detection of users and their reaction, based on the VLSI neurons and synapses by CMOS conductance and Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biologically plausible intel...

متن کامل

A Review on Multi Robot Cooperation Using Bio Inspired Neural Networks

Though widely discussed, multi robot cooperation is a critical and a challenging issue in today’s world. To provide proper cooperation among robots, we not only need to have the communication, but also various different factors such as path planning, searching, collision detection and avoidance, misscommunication and failure of the robots i.e. the multi robot systems must work well under robust...

متن کامل

Bio-inspired Collision Detector with Enhanced Selectivity for Ground Robotic Vision System

There are many ways of building collision-detecting systems. In this paper, we propose a novel collision selective visual neural network inspired by LGMD2 neurons in the juvenile locusts. Such collision-sensitive neuron matures early in the first-aged or even hatching locusts, and is only selective to detect looming dark objects against bright background in depth, represents swooping predators,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Bio Systems

دوره 87 2-3  شماره 

صفحات  -

تاریخ انتشار 2007