1 INTRODUCTION

2 PRELIMINARIES
2.1 Learning Paradigm
2.2 Learning Strategies

3 STANDARD MODEL
3.1 Intrinsics Calibration
3.2 Extrinsics Calibration
3.3 Joint Intrinsic and Extrinsic Calibration
3.4 Discussion

4 DISTORTION MODEL
4.1 Radial Distortion
4.2 Roll Shutter Distortion
4.3 Discussion

5 CROSS-VIEW MODEL
5.1 Direct Solution
5.2 Cascaded Solution
5.3 Iterative Solution
5.4 Discussion

6 CROSS-SENSOR MODEL
6.1 Pixel-level Solution
6.2 Semantics-level Solution
6.3 Object/Keypoint-level Solution
6.4 Discussion

7 BENCHMARK

8 FUTURE RESEARCH DIRECTIONS
8.1 Sequences
8.2 Learning Target
8.3 Pre-training
8.4 Implicit Unified Model

9 CONCLUSION