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Many real-time stereo vision systems are available on low-power platforms. They all either use a local correlation-like stereo engine or perform dynamic programming variants on a scan-line. However, when looking at high-performance global stereo methods as listed in the upper third of the Middlebury database, the low-power real-time implementations for these methods are still missing. We propose a...
This paper presents a stereo-based system for measuring traffic on motorways. To achieve real-time performance, the system exploits a decentralized architecture composed of a pair of smart cameras fixed over the road and connected via network to an embedded industrial PC on the side of the road. Different features (Harris corners and edges) are detected on the two images and matched together with...
Many people are involved in accidents every year at railroad crossings, but there is no suitable sensor for detecting pedestrians. We are therefore developing a stereo vision based system for ensuring safety at railroad crossings. In this system, stereo cameras are installed at the corners and are pointed toward the center of the railroad crossing to monitor the passage of people. The system determines...
In this contribution we present a building reconstruction strategy using spatial models of building parts and information fusion of aerial image, digital surface model and ground plans. The fusion of sensor data aims to derive reliably local building features and is therefore controlled in a domain specific way: ground plans indicate the approximate location of outer roof corners and the intersection...
This paper presents a silicon retina-based stereo vision system, which is used for a pre-crash warning application for side impacts. We use silicon retina imagers for this task, because the advantages of the camera, derived from the human vision system, are high temporal resolution up to 1ms and the handling of various lighting conditions with a dynamic range of ~120dB. A silicon retina delivers asynchronous...
The faithful detection of the motion and of the distance of the objects in the visual scene is a desirable feature of any artificial vision system designed to operate in unknown environments characterized by conditions variable in time in an often unpredictable way. Here, we propose a distributed neuromorphic architecture, that, by sharing the computational resources to solve the stereo and the motion...
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