Efficient Semantic Segmentation for Visual Bird’s-Eye View Interpretation

Timo Sämann; Karl Amende; Stefan Milz; Christian Witt; Martín Simón; Johannes Petzold

doi:10.1007/978-3-030-01370-7_53

ScienceGate Book Chapters

BOOK-CHAPTER

Efficient Semantic Segmentation for Visual Bird’s-Eye View Interpretation

Timo Sämann Karl Amende Stefan Milz Christian Witt Martín Simón Johannes Petzold

Year: 2018 Advances in intelligent systems and computing Pages: 679-688 Publisher: Springer Nature

DOI: 10.1007/978-3-030-01370-7_53

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Interpretation (philosophy) Computer science Artificial intelligence Semantic interpretation Computer vision Natural language processing Programming language

Metrics

Cited By

0.45

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Efficient Semantic Segmentation for Visual Bird’s-Eye View Interpretation

Metrics

Citation History

Topics

Related Documents

Semi-Supervised Learning for Visual Bird’s Eye View Semantic Segmentation

Temporal Bird’s Eye View for 3D Semantic Segmentation

Bird’s Eye View Segmentation Using Lifted 2D Semantic Features

Residual Graph Convolutional Network for Bird’s-Eye-View Semantic Segmentation

GenBEV: Generative Model With Semantic Compensation for Bird’s Eye View Segmentation