Vision-based independent motion detection systems have attracted a lot of attention lately. Such sort of system could be used in on-board automotive assistance system to help driver prevent possible collisions with other independently moving objects (IMOs). In this paper we present a biologically inspired model of IMOs detection system. The proposed model, according to a widely accepted in neuroscience hypothesis, consists of two information-processing streams: "what" (crucial for objects recognition) and "where" (responsible for independent motion discrimination).status: publishe
The lobula giant movement detector (LGMD) neuron of locusts has been shown to preferentially respond...
We propose a system which can detect the motion patterns of nearby vehicles on an expressway. The sy...
This research investigates the usefulness of visual flow field information for the robotic navigatio...
We present a three-level architecture for detection and tracking of independently moving objects (IM...
Abstract- In this paper, a bioinspired neural model for detecting object motion based on retina comp...
We present a three–level architecture for detection and tracking of independently moving objects (IM...
We present an approach to detecting independently moving objects (IMOs) in stereo video sequences ac...
In this study we present an approach to detecting, describing and tracking independently moving obje...
Reliably recognizing objects approaching on a collision course is extremely important. A synthetic v...
[[abstract]]We propose a computational model motivated by human cognitive processes for detecting ch...
Abstract-Driver assistance functionalities on the market are getting more and more sophisticated, wh...
This thesis is a collection of three studies investigating the multi-channel processing of visual in...
Motion information is required for the solution of many complex tasks of the visual system such as d...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
[[abstract]]Driving always involves risk. Various means have been proposed to reduce the risk. Criti...
The lobula giant movement detector (LGMD) neuron of locusts has been shown to preferentially respond...
We propose a system which can detect the motion patterns of nearby vehicles on an expressway. The sy...
This research investigates the usefulness of visual flow field information for the robotic navigatio...
We present a three-level architecture for detection and tracking of independently moving objects (IM...
Abstract- In this paper, a bioinspired neural model for detecting object motion based on retina comp...
We present a three–level architecture for detection and tracking of independently moving objects (IM...
We present an approach to detecting independently moving objects (IMOs) in stereo video sequences ac...
In this study we present an approach to detecting, describing and tracking independently moving obje...
Reliably recognizing objects approaching on a collision course is extremely important. A synthetic v...
[[abstract]]We propose a computational model motivated by human cognitive processes for detecting ch...
Abstract-Driver assistance functionalities on the market are getting more and more sophisticated, wh...
This thesis is a collection of three studies investigating the multi-channel processing of visual in...
Motion information is required for the solution of many complex tasks of the visual system such as d...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
[[abstract]]Driving always involves risk. Various means have been proposed to reduce the risk. Criti...
The lobula giant movement detector (LGMD) neuron of locusts has been shown to preferentially respond...
We propose a system which can detect the motion patterns of nearby vehicles on an expressway. The sy...
This research investigates the usefulness of visual flow field information for the robotic navigatio...