An intelligent multi-sensor cooperative perception framework for situational awareness enhancement

Qi Zhao; Yi Li; Hang Liu; Erik Blasch; Khanh Pham; Genshe Chen

doi:10.1117/12.2665078

27 November 2023 An intelligent multi-sensor cooperative perception framework for situational awareness enhancement

Qi Zhao, Yi Li, Hang Liu, Erik Blasch, Khanh Pham, Genshe Chen

Proceedings Volume 12546, Sensors and Systems for Space Applications XVI; 125460Q (2023) https://doi.org/10.1117/12.2665078
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Single sensor, such as 3D LiDAR camera, has relatively limited perception performance of providing comprehensive environmental information though the perception results from single sensor is accurate. Therefore, multiple sensors are perferred for surveillant tasks in either tactical or civilian scenarios. Cooperative perception is one of the solution to enable sensors to share sensory information with other sensors and infrastructure, extending coverage and enhancing the detection accuracy of surrounding objects for better safety and path planning. However, an efficient management of the large volume of sensory data across multiple sensors in the wirelss network is needed to maintain real-time sensing. In this work, we design a complete cooperative perception framework with varies networking, image processing and data fusion technologies integrated to enhance the situational awareness performance with multiple sensors. The framework uses information-centric networking and deep reinforc

Conference Presentation

Citation Download Citation

Qi Zhao, Yi Li, Hang Liu, Erik Blasch, Khanh Pham, and Genshe Chen "An intelligent multi-sensor cooperative perception framework for situational awareness enhancement ", Proc. SPIE 12546, Sensors and Systems for Space Applications XVI, 125460Q (27 November 2023); https://doi.org/10.1117/12.2665078

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