A Survey of Deep Learning-Based 3D Object Detection Methods for Autonomous Driving Across Different Sensor Modalities.

Valverde M, Moutinho A, Zacchi JV

Open source

DOI
10.3390/s25175264
Published
2025 Aug 24
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s25175264,
  title = {A Survey of Deep Learning-Based 3D Object Detection Methods for Autonomous Driving Across Different Sensor Modalities.},
  author = {Valverde M and Moutinho A and Zacchi JV},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25175264},
  url = {https://doi.org/10.3390/s25175264}
}

RIS

TY  - JOUR
TI  - A Survey of Deep Learning-Based 3D Object Detection Methods for Autonomous Driving Across Different Sensor Modalities.
AU  - Valverde M
AU  - Moutinho A
AU  - Zacchi JV
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25175264
UR  - https://doi.org/10.3390/s25175264
ER  - 

APA

M, V., A, M., & JV, Z. (2025). A Survey of Deep Learning-Based 3D Object Detection Methods for Autonomous Driving Across Different Sensor Modalities.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25175264

Source records