Autonomous vehicles mostly employ multi-sensor information for environment perception, and real-time and accurate perception of traffic objects is critical during adverse weather conditions. Hence the problem statement is to develop a multi modal perception Quality aware framework (M-PQA-AWC) to evaluate the image quality score using deep learning for object detection and recognition in Autonomous vehicles under adverse weather conditions and to deploy the model in the real time environment to work well on extreme weather conditions.
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