Back to Search
Start Over
Generalized Regressive Motion: a Visual Cue to Collision
- Publication Year :
- 2015
- Publisher :
- Cold Spring Harbor Laboratory, 2015.
-
Abstract
- Brains and sensory systems evolved to guide motion. Central to this task is controlling the approach to stationary obstacles and detecting moving organisms. Looming has been proposed as the main monocular visual cue for detecting the approach of other animals and avoiding collisions with stationary obstacles. Elegant neural mechanisms for looming detection have been found in the brain of insects and vertebrates. However, looming has not been analyzed in the context of collisions between two moving animals. We propose an alternative strategy, Generalized Regressive Motion (GRM), which is consistent with recently observed behavior in fruit flies. Geometric analysis proves that GRM is a reliable cue to collision among conspecifics, whereas agent-based modeling suggests that GRM is a better cue than looming as a means to detect approach, prevent collisions and maintain mobility.
- Subjects :
- FOS: Computer and information sciences
0209 industrial biotechnology
Geometric analysis
Computer science
Computer Vision and Pattern Recognition (cs.CV)
Motion Perception
Biophysics
Computer Science - Computer Vision and Pattern Recognition
Context (language use)
Sensory system
Systems and Control (eess.SY)
02 engineering and technology
Biochemistry
Motion (physics)
Task (project management)
03 medical and health sciences
Computer Science - Robotics
Accident Prevention
020901 industrial engineering & automation
0302 clinical medicine
Looming
Vision, Monocular
FOS: Electrical engineering, electronic engineering, information engineering
Animals
Computer Science - Multiagent Systems
Computer vision
Engineering (miscellaneous)
Monocular
business.industry
Brain
Collision
Flight, Animal
Molecular Medicine
Computer Science - Systems and Control
Drosophila
Artificial intelligence
Cues
business
Robotics (cs.RO)
030217 neurology & neurosurgery
Multiagent Systems (cs.MA)
Biotechnology
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1be51723dd41339ca74035829776b292