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Proceedings Paper

Real-time, miniaturized optical sensor for motion estimation and time-to-crash detection
Author(s): Nicola Ancona; Giuseppe Creanza; D. Fiore; R. Tangorra; Bart Dierickx; Guy Meynants; Danny Scheffer
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Paper Abstract

The paper presents a low cost, miniature sensor that is able to compute in real time (up to 1000 frames/sec) motion parameters like the degree of translation, expansion or rotation that is present in the observed scene, as well as the so-called time-to-crash (TTC), that is the time required for a moving object to collide with the sensor. The sensing principle is that of computing and analyzing the optical flow projected by the scene on the sensor focal plane, through a novel algorithmic technique, based on sparse sampling of the image and one-dimensional correlation. The hardware implementation of the algorithm is based on two custom VLSI chips: one is a CMOS image sensor, having nonstandard pixel geometry, while the other one is a digital correlator that computes at high speed the optical flow vectors. The high-level control and communication tasks are managed by a microcontroller, thus guaranteeing a high level of flexibility and adaptability of the sensor properties towards different application requirements and/or variable external conditions.

Paper Details

Date Published: 19 December 1996
PDF: 11 pages
Proc. SPIE 2950, Advanced Focal Plane Arrays and Electronic Cameras, (19 December 1996); doi: 10.1117/12.262544
Show Author Affiliations
Nicola Ancona, Tecnopolis CSATA Novus Ortus (Italy)
Giuseppe Creanza, Tecnopolis CSATA Novus Ortus (Italy)
D. Fiore, Tecnopolis CSATA Novus Ortus (Italy)
R. Tangorra, Tecnopolis CSATA Novus Ortus (Italy)
Bart Dierickx, IMEC (Belgium)
Guy Meynants, IMEC (Belgium)
Danny Scheffer, IMEC (Belgium)


Published in SPIE Proceedings Vol. 2950:
Advanced Focal Plane Arrays and Electronic Cameras
Thierry M. Bernard, Editor(s)

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