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An Integrated Approach for Traffic Scene Understanding from Monocular Cameras / Titelei/Inhaltsverzeichnis
An Integrated Approach for Traffic Scene Understanding from Monocular Cameras / Titelei/Inhaltsverzeichnis
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Chapter
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I–XIV
Titelei/Inhaltsverzeichnis
I–XIV
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1–7
1 Introduction
1–7
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1.1 Motivation
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1.2 Outline and contributions
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8–19
2 Related Work and Fundamental Background
8–19
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2.1 Advances in CNN architectures for image processing
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2.2 Traffic scene representations from monocular cameras
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2.3 Fundamental principles and general framework
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20–27
3 Experimental Setup and Data Acquisition
20–27
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3.1 Outline of the camera system and test platforms
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3.2 Inferring scene points from image space measurements
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28–37
4 Network Architecture for Multi-task Feature Sharing
28–37
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4.1 General design considerations
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4.2 Multi-task learning and architectural implications
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4.3 Comparison and choice of the feature encoder architecture
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38–49
5 Global Road Topology from Scene Context Recognition
38–49
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5.1 Use and taxonomies of the traffic scene context
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5.2 Recognition decoder and architecture integration
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5.3 Road-topology recognition experiments
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50–63
6 Drivable Road Area from Semantic Image Segmentation
50–63
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6.1 Traffic scene segmentation as dense classification
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6.2 Segmentation decoder architecture and spatial priors
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6.3 Experiments on drivable road area segmentation
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64–83
7 Road Users from Bounding Box Detection
64–83
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7.1 Classification and localization of 2D bounding boxes
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7.2 Auxiliary regressands and decoder architecture for spatial reconstruction
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7.3 Object detection and reconstruction experiments
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84–96
8 Multi-task Integration and Conclusive Experimental Analysis
84–96
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8.1 Multi-task decoder and architecture integration
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8.2 Practical strategy for the joint training of all perceptual tasks
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8.3 Experimental results and comparison
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97–99
9 Summary, Conclusion, and Outlook
97–99
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100–114
A Appendix
100–114
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A.1 Road topology dataset statistics
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A.2 Technical specifications of the camera system
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A.3 Single-task pre-rec curves for all road topologies
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A.4 Overview of the segmentation decoder with Hadamard layer
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A.5 Detailed breakdown of the single-task KITTI road segmentation results
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A.6 Overview of the SSD decoder with auxiliary regressands
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A.7 Dual-task Rec+Seg pre-rec curves for road topology recognition
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A.8 Dual-task Rec+Det pre-rec curves for road topology recognition
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A.9 Multi-task pre-rec curves for road topology recognition
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A.10 Dual-task road topology confusion matrices
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A.11 Detailed breakdown of the multi-task KITTI road segmentation results
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A.12 Full runtime measurement data
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115–142
Bibliography
115–142
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An Integrated Approach for Traffic Scene Understanding from Monocular Cameras , page I - XIV
Titelei/Inhaltsverzeichnis
Autoren
Malte Oeljeklaus
DOI
doi.org/10.51202/9783186815125-I
ISBN print: 978-3-18-381512-8
ISBN online: 978-3-18-681512-5
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doi.org/10.51202/9783186815125-I
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