Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing

• Published in: Journal of cloud computing : advances, systems and applications Vol. 13; no. 1; pp. 25 - 12
• Main Authors: Li, Dengbo, Zhang, Hanning, Cheng, Jieren, Liu, Bernie
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024; Springer Nature B.V; SpringerOpen
• Subjects: Accuracy; Algorithms; Artificial neural networks; Automobile industry; Automobiles; Autonomous Driving; Autonomous vehicles; Cameras; Cloud computing; Collaboration; Computation; Computer Communication Networks; Computer Science; Computer System Implementation; Computer Systems Organization and Communication Networks; Data integration; Deep learning; Edge Cloud Collaboration; Edge computing; Efficiency; High performance computing; Information Systems Applications (incl.Internet); Localization; Mobile Edge Computing Meets AI; Modules; Neural networks; Offloading; Power; Relocalization; Relocation; Servers; Software Engineering/Programming and Operating Systems; Special Purpose and Application-Based Systems; Relocalization; Autonomous Driving; Offloading; Edge Cloud Collaboration
• ISSN: 2192-113X; 2192-113X
• DOI: 10.1186/s13677-024-00592-1

The substantial computational demands associated with Deep Neural Network (DNN)-based camera relocalization during the reasoning process impede their integration into autonomous vehicles. Cost and energy efficiency considerations may dissuade automotive manufacturers from employing high-computing equipment, limiting the adoption of advanced models. In response to this challenge, we present an innovative edge cloud collaborative framework designed for camera relocalization in autonomous vehicles. Specifically, we strategically offload certain modules of the neural network to the server and evaluate the inference time of data frames under different network segmentation schemes to guide our offloading decisions. Our findings highlight the vital role of server-side offloading in DNN-based camera relocation for autonomous vehicles, and we also discuss the results of data fusion. Finally, we validate the effectiveness of our proposed framework through experimental evaluation.