APA (7th ed.) Citation

Li, J., & Hwang, Y. (2026). IFA-ICP: A Low-Complexity and Image Feature-Assisted Iterative Closest Point (ICP) Scheme for Odometry Estimation in SLAM, and Its FPGA-Based Hardware Accelerator Design. Sensors (14248220), 26(8), 2326. https://doi.org/10.3390/s26082326

Chicago Style (17th ed.) Citation

Li, Jia-En, and Yin-Tsung Hwang. "IFA-ICP: A Low-Complexity and Image Feature-Assisted Iterative Closest Point (ICP) Scheme for Odometry Estimation in SLAM, and Its FPGA-Based Hardware Accelerator Design." Sensors (14248220) 26, no. 8 (2026): 2326. https://doi.org/10.3390/s26082326.

MLA (9th ed.) Citation

Li, Jia-En, and Yin-Tsung Hwang. "IFA-ICP: A Low-Complexity and Image Feature-Assisted Iterative Closest Point (ICP) Scheme for Odometry Estimation in SLAM, and Its FPGA-Based Hardware Accelerator Design." Sensors (14248220), vol. 26, no. 8, 2026, p. 2326, https://doi.org/10.3390/s26082326.