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Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification
Research article (Journal of Transportation Engineering Part B Pavements, 2023) · cited 38× · AI/ML
Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification
Summary
Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification is a scholarly article[1].
Key Facts
Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learningbased-autonomous-road-condition-assessment-leveraging-inexpensive-rgb-and-depth-sensors-and-heterogeneous-d
MLA“Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learningbased-autonomous-road-condition-assessment-leveraging-inexpensive-rgb-and-depth-sensors-and-heterogeneous-d.
BibTeX@misc{4ortxyz_deep-learningbased-autonomous-road-condition-assessment-leveraging-inexpensive-rgb-and-depth-sensors-and-heterogeneous-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learningbased-autonomous-road-condition-assessment-leveraging-inexpensive-rgb-and-depth-sensors-and-heterogeneous-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification — https://4ort.xyz/entity/deep-learningbased-autonomous-road-condition-assessment-leveraging-inexpensive-rgb-and-depth-sensors-and-heterogeneous-d (retrieved 2026-05-24)
