Generating a Hazard Map of Dynamic Objects Using Lidar Mobile Mapping Article Swipe
Alexander Schlichting
,
Claus Brenner
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.14358/pers.82.12.967
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.14358/pers.82.12.967
One of the hardest problems for future self-driving cars is to predict hazardous situations involving pedestrians and cyclists. Human drivers solve this problem typically by having a deeper understanding of the scene. The technical equivalent of this is to provide a hazard map, which serves as a prior for self-driving cars, enabling them to adjust driving speed and processing thresholds. In this paper, we present a method to derive such a hazard map using lidar mobile mapping. Pedestrians and cyclists are obtained from a sequence of point clouds by segmentation and classification. Their locations are then accumulated in a grid map, which serves as a “heat map” for possible hazardous situations. To demonstrate our approach, we generated a map using lidar mobile mapping, obtained by twelve measurement campaigns in Hanover (Germany). Our results show different outcomes for the city center, residential areas, busy roads, and road junctions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14358/pers.82.12.967
- OA Status
- hybrid
- Cited By
- 3
- References
- 9
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- OpenAlex ID
- https://openalex.org/W2560290037
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W2560290037Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.14358/pers.82.12.967Digital Object Identifier
- Title
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Generating a Hazard Map of Dynamic Objects Using Lidar Mobile MappingWork title
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articleOpenAlex work type
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enPrimary language
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2016Year of publication
- Publication date
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2016-12-01Full publication date if available
- Authors
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Alexander Schlichting, Claus BrennerList of authors in order
- Landing page
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https://doi.org/10.14358/pers.82.12.967Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.14358/pers.82.12.967Direct OA link when available
- Concepts
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Lidar, Mobile mapping, Cartography, Geography, Hazard map, Remote sensing, Hazard, Computer science, Computer vision, Point cloud, Chemistry, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2021: 2, 2018: 1Per-year citation counts (last 5 years)
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9Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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