Abstract

Reliable and robust perception is fundamental to the safety of autonomous systems, especially in the context of driverless vehicles, where faults and mistakes might lead to disastrous consequences. Yet, no perception system is infallible, and no sensor can guarantee consistent performance in all possible circumstances. RGB cameras naturally struggle when illumination is scarce, for instance; LiDAR’s behaviouris affected by harsh weather conditions (e.g., heavy rain or fog). Combining sensing modalities in a mutually beneficial way, leveraging their strengths and mitigating their weaknesses, has been shown to lead to significant improvements in the accuracy and robustness of perception systems. This workshop aims to explore novel multimodal perception strategies in three ways. Firstly, it will investigate multimodal systems featuring the integration of sensors not typically applied to specific tasks. Secondly, it will explore some of the challenges still with holding the rapid development of multi-sensor suites, such as continuous calibration. Lastly, it will investigate innovative multimodal paradigms, such as end-to-end navigation schemes. Via these three themes, this workshop aims to stimulate discussion and research into multimodal perception, to improve the reliability and accuracy of transportation systems.

Keywords: Autonomous Driving, Intelligent Transportation Systems, Multimodal Perception, Sensing, Localization, Visual Learning, Sensor fusion, Multimodal Navigation, Machine Learning, Deep Learning, Signal and Image Processing, Multi-Sensor Calibration, End-to-end Multimodal Navigation, Deep Reinforcement Learning for Perception-to-Action, Perception-Action Coupling, Cooperative Perception, Distributed Perception.

Call for Papers

Author Guidelines

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Acknowledgments

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.