Super-sensor for 360-degree environment perception: Point cloud segmentation using image features

Research article (2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017) · cited 47× · AI/ML
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Super-sensor for 360-degree environment perception: Point cloud segmentation using image features

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Super-sensor for 360-degree environment perception: Point cloud segmentation using image features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Super-sensor for 360-degree environment perception: Point cloud segmentation using image features. Retrieved May 24, 2026, from https://4ort.xyz/entity/super-sensor-for-360-degree-environment-perception-point-cloud-segmentation-using-image-features
MLA “Super-sensor for 360-degree environment perception: Point cloud segmentation using image features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/super-sensor-for-360-degree-environment-perception-point-cloud-segmentation-using-image-features.
BibTeX @misc{4ortxyz_super-sensor-for-360-degree-environment-perception-point-cloud-segmentation-using-image-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Super-sensor for 360-degree environment perception: Point cloud segmentation using image features}}, year = {2026}, url = {https://4ort.xyz/entity/super-sensor-for-360-degree-environment-perception-point-cloud-segmentation-using-image-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Super-sensor for 360-degree environment perception: Point cloud segmentation using image features — https://4ort.xyz/entity/super-sensor-for-360-degree-environment-perception-point-cloud-segmentation-using-image-features (retrieved 2026-05-24)

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