Paper
23 January 1997 AV control system which makes use of environment stabilizations
Georgi Stojanov, Stevo Bozinovski, Liljana Bozinovska
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Abstract
In the present paper we propose a new, biologically inspired conceptual scheme for introducing parallelism, redundancy and learning in control systems for autonomous vehicles (AV). AV are regarded as a special class of autonomous agents (AA). Most generally stated, an AA is defined with the set of its percepts (S), the set of its elementary actions (A), and its internal structure. Within our scheme expectation is the key concept, and an agent is said to be aware of its environment if it can anticipate the effects of the actions (A) it applies in particular situations (S). If the environment stabilizes for awhile, the effects of application of a particular action will remain same for particular situation. We can take advantage of this fact and avoid recomputation of the optical action in that situation by applying instead, the action generated by the stored anticipations for that situation. In the introduction we give a brief overview of the present AA architectures in the domain of autonomous vehicles and outline the basics of our architecture. In the next section the expecting agent is described in more details. The last section is devoted to an example of implementation of this scheme within the domain of obstacle avoiding path finding autonomous vehicles control. The implementation details and the simulation results of three experiments are discussed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Georgi Stojanov, Stevo Bozinovski, and Liljana Bozinovska "AV control system which makes use of environment stabilizations", Proc. SPIE 2903, Mobile Robots XI and Automated Vehicle Control Systems, (23 January 1997); https://doi.org/10.1117/12.265347
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Control systems

Actuators

Detection and tracking algorithms

Environmental sensing

Pollution control

Signal generators

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