A
Andre Yakovleff
Researcher at Defence Science and Technology Organisation
Publications - 12
Citations - 251
Andre Yakovleff is an academic researcher from Defence Science and Technology Organisation. The author has contributed to research in topics: Motion detection & Very-large-scale integration. The author has an hindex of 9, co-authored 12 publications receiving 251 citations. Previous affiliations of Andre Yakovleff include University of Adelaide.
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Journal ArticleDOI
An insect vision-based motion detection chip
Alireza Moini,Abdesselam Bouzerdoum,Kamran Eshraghian,Andre Yakovleff,Xuan Thong Nguyen,Andrew J. Blanksby,Richard Beare,Derek Abbott,R.E. Bogner +8 more
TL;DR: The architectural and circuit design aspects of a mixed analog/digital very large scale integration (VLSI) motion detection chip based on models of the insect visual system are described, implementing a reconfigurable architecture which facilitates the evaluation of several newly designed analog circuits.
Proceedings ArticleDOI
An analog implementation of early visual processing in insects
Alireza Moini,A. Bouzerdoum,Andre Yakovleff,Derek Abbott,O. Kim,Kamran Eshraghian,R.E. Bogner +6 more
TL;DR: An analog VLSI implementation which mimics the early visual processing stages in insects is described, which serves as the front end processor for a motion detection chip.
Proceedings ArticleDOI
A new VLSI smart sensor for collision avoidance inspired by insect vision
Derek Abbott,Alireza Moini,Andre Yakovleff,X. Thong Nguyen,Andrew J. Blanksby,Gyudong Kim,Abdesselam Bouzerdoum,R.E. Bogner,Kamran Eshraghian +8 more
TL;DR: An analog VLSI implementation of a smart microsensor that mimics the early visual processing stage in insects is described with an emphasis on the overall concept and the front- end detection.
Journal ArticleDOI
Motion Perception Using Analog VLSI
Andre Yakovleff,Alireza Moini +1 more
TL;DR: The manner in which a simple motion perception model based on the insect visual system has been implemented using mixed analog/digital VLSI is described, showing the feasibility of using such a device in autonomous control systems.
Proceedings ArticleDOI
Obstacle avoidance and motion-induced navigation
TL;DR: The manner in which motion information, provided by the chip in real-time, may be utilised by the control system of an autonomous vehicle in low-level perceptual tasks is shown.