An Innovative multi-sensor data fusion method based on thrice deeply-fusion architecture for multi-object tracking.

MLA

Wang, Bai-chao, et al. “An Innovative Multi-Sensor Data Fusion Method Based on Thrice Deeply-Fusion Architecture for Multi-Object Tracking.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.), vol. 237, no. 12, Oct. 2023, pp. 2679–95. EBSCOhost, https://doi.org/10.1177/09544070221133151.

APA

Wang, B., Liu, C., Zhang, L., & Wang, D. (2023). An Innovative multi-sensor data fusion method based on thrice deeply-fusion architecture for multi-object tracking. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.), 237(12), 2679–2695. https://doi.org/10.1177/09544070221133151

Chicago

Wang, Bai-chao, Cong-zhi Liu, Li-tong Zhang, and Da-sen Wang. 2023. “An Innovative Multi-Sensor Data Fusion Method Based on Thrice Deeply-Fusion Architecture for Multi-Object Tracking.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.) 237 (12): 2679–95. doi:10.1177/09544070221133151.