Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding

• المؤلفون الرئيسيون: Huang, Zhiyu, Lv, Chen, Xing, Yang, Wu, Jingda
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Mechanical engineering; End-to-End Autonomous Driving; Multimodal Sensor Fusion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159714

This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fusion techniques. The designed end-to-end deep neural network takes as input the visual image and associated depth inf...