Stäcker et al., 2022 - Google Patents
Fusion point pruning for optimized 2D object detection with radar-camera fusionStäcker et al., 2022
View PDF- Document ID
- 4951230904484700178
- Author
- Stäcker L
- Heidenreich P
- Rambach J
- Stricker D
- Publication year
- Publication venue
- Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
External Links
Snippet
Object detection is one of the most important perception tasks for advanced driver assistant systems and autonomous driving. Due to its complementary features and moderate cost, radar-camera fusion is of particular interest in the automotive industry but comes with the …
- 230000004927 fusion 0 title abstract description 71
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- 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
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/62—Methods or arrangements for recognition using electronic means
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