3D object detection for autonomous driving: Methods, models, sensors, data, and challenges

Research article (Transportation Engineering, 2022) · cited 42× · AI/ML
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3D object detection for autonomous driving: Methods, models, sensors, data, and challenges

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3D object detection for autonomous driving: Methods, models, sensors, data, and challenges is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). 3D object detection for autonomous driving: Methods, models, sensors, data, and challenges. Retrieved May 24, 2026, from https://4ort.xyz/entity/3d-object-detection-for-autonomous-driving-methods-models-sensors-data-and-challenges
MLA “3D object detection for autonomous driving: Methods, models, sensors, data, and challenges.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3d-object-detection-for-autonomous-driving-methods-models-sensors-data-and-challenges.
BibTeX @misc{4ortxyz_3d-object-detection-for-autonomous-driving-methods-models-sensors-data-and-challenges_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D object detection for autonomous driving: Methods, models, sensors, data, and challenges}}, year = {2026}, url = {https://4ort.xyz/entity/3d-object-detection-for-autonomous-driving-methods-models-sensors-data-and-challenges}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3D object detection for autonomous driving: Methods, models, sensors, data, and challenges — https://4ort.xyz/entity/3d-object-detection-for-autonomous-driving-methods-models-sensors-data-and-challenges (retrieved 2026-05-24)

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