綜述自動駕駛中的計算機視覺Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art(下)
阿新 • • 發佈:2019-02-07
6. Semantic Segmentation
Formulation
Structured CNNs
Conditional Random Fields
Discussion
6.1 Semantic Instance Segmentation
Proposal-based Instance Segmentation
Proposal-free Instance Segmentation
Discussion
6.2 Label Propagation
6.3 Semantic Segmentation with Multiple Frames
6.4 Semantic Segmentation of 3D dATA
Online Methods
3D CNN
6.5 Semantic Segmentation of Street Side Views
6.6 Semantic Segmentation of Aerial Images
Aerial Image Parsing using Maps
Fine-grained Image Parsing with Aerial-to-ground Reasoning
6.6.1 ISPRS Segmentation Challenge
6.7 Road Segmentation
CNN-based Methods
6.7.1 Free Space Estimation
Long Range Obstacle Detection
7. Reconstruction
7.1 Stereo
Taxonomies
Matching Cost Functions
SGM
Variable Baseline/Resolution
Planarity
Variational Approaches
State-of-the-art
Superpixels
Deep Learning
Discussion
7.2 Multi-view 3D Reconstruction
Taxonomies
Representations:Depth Map
Representations:Point-cloud
Representations:Volumetric
Representations:Mesh or Surface
Urban Reconstruction
Input Data
Stereo Sequences
Digital Surface Models(DSM)
Air- and Street-level
Stereo Satellite
7.3 Reconstruction and Recognition
Planarity and Primitives
Volumetric
Volumetric:Large-scale
Shape Priors
Data-Driven
8. Motion & Pose Estimation
8.1 2D Motion Estimation - Optical Flow
Variational Formulation
Sparse Matches
High Speed Flow
State-of-the-art
Epipolar Flow
Semantic Segmentation
Confidences
Deep Learning
Discussion
8.2 3D Motion Estimation - Scene Flow
Variational Approaches
Piecewise Rigidity
Piecewise Rigidity at the Object Level
State-of-the-art
Discussion
8.3 Ego-Motion Estimation
Formulation
Drift
2D-to-2D Matching
3D-to-2D Matching
3D-to-3D Matching
8.3.1 State-of-the-art
Monocular Visual Odometry
Stereo Visual Odometry
LiDAR-base Odometry
Discussion
8.4 Simultaneous Localization and Mapping(SLAM)
Formulation
Environmental Changes
8.4.1 Loop Closure Detection
LiDAR-based
8.4.2 Visual SLAM
8.4.3 Mapping
Metric Maps
Semantic Maps
8.5 Localization
Survey
Monte Carlo Methods
Metric, Topological, Topometric
Scale and Accuracy
Structured-based Localization
Structured-based Localization using Deep Learning
Cross-view Localization
Cross-view Localization:Buildings
Cross-view Localization:Reconstructions
Semantic Alignment from LiDAR
9. Tracking
Challenges
Formulation
On MOT16
On KITTI
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