How to Cite
Abstract
The AI-based techniques can be the best solution for the impacts of weather adversities on the vehicle sensors. Many underlying factors should be considered for integrating AI, like modelling, controller design, domain knowledge, learning and optimization, robustness and reliability for autonomous vehicle technologies (most likely involving inference of a belief state) associated with sensors already affected by adverse impacts of weather. The design complexities of AI-based approaches are encouraging, but underlying methodologies are mature enough to demonstrate at present. We have designed and developed solutions in all desired environmental conditions using AI for multi-sensor fusion. The performance of the technologies integrated using the AI have been tested in severe fog and rain environmental conditions, which provides credible domain-specific knowledge among the current scientific community on the subject.References
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