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.

Li JE, Hwang YT

Open source

DOI
10.3390/s26082326
Published
2026 Apr 9
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26082326,
  title = {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.},
  author = {Li JE and Hwang YT},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26082326},
  url = {https://doi.org/10.3390/s26082326}
}

RIS

TY  - JOUR
TI  - 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.
AU  - Li JE
AU  - Hwang YT
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26082326
UR  - https://doi.org/10.3390/s26082326
ER  - 

APA

JE, L., & YT, H. (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 (Basel, Switzerland). https://doi.org/10.3390/s26082326

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