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Beltrán et al., 2018 - Google Patents

Birdnet: a 3d object detection framework from lidar information

Beltrán et al., 2018

View PDF
Document ID
10050321524848990269
Author
Beltrán J
Guindel C
Moreno F
Cruzado D
Garcia F
De La Escalera A
Publication year
Publication venue
2018 21st International Conference on Intelligent Transportation Systems (ITSC)

External Links

Snippet

Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite common sensor setups already include complementary devices such as LiDAR or radar, most of the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
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