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3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection

Research article (IEEE Transactions on Intelligent Vehicles, 2018) · cited 70× · AI/ML
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3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection

Summary

3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection is a scholarly article[1].

Key Facts

  • 3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/3-d-lidar-monocular-camera-an-inverse-depth-induced-fusion-framework-for-urban-road-detection
MLA “3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3-d-lidar-monocular-camera-an-inverse-depth-induced-fusion-framework-for-urban-road-detection.
BibTeX @misc{4ortxyz_3-d-lidar-monocular-camera-an-inverse-depth-induced-fusion-framework-for-urban-road-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection}}, year = {2026}, url = {https://4ort.xyz/entity/3-d-lidar-monocular-camera-an-inverse-depth-induced-fusion-framework-for-urban-road-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection — https://4ort.xyz/entity/3-d-lidar-monocular-camera-an-inverse-depth-induced-fusion-framework-for-urban-road-detection (retrieved 2026-05-24)

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