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该博客是一份SLAM（Simultaneous Localization and Mapping）的综合评述，涵盖了从经典方法到现代趋势，包括视觉SLAM、LiDAR SLAM、多传感器融合以及深度学习在SLAM中的应用。文章详细讨论了SLAM在自动驾驶领域的挑战和未来发展方向，如动态环境中的定位、3D重建和语义理解。
目录
2 Visual simultaneous localization and mapping: a survey
3 Feature‑based visual simultaneous localization and mapping: a survey
5 Visual SLAM and Structure from Motion in Dynamic Environments: A Survey
6 Simultaneous Localization And Mapping: A Survey of Current Trends in Autonomous Driving
7 A Survey of Computer Vision Research for Automotive Systems
8 3D Reconstruction using a Sparse Laser Scanner and a Single Camera for Outdoor Autonomous vehicle
9 Visual SLAM for Driverless Cars: A Brief Survey
10 Visual Perception for Autonomous Driving
11 A Survey of Simultaneous Localization and Mapping
12 A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
0. Past, Present, and Future of SLAM: Toward the Robust-Perception Age
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age 最经典的一篇，网上翻译众多，不再赘述。
1 An Overview of SLAM
- 出处： (CISC) 2018 Chinese Intelligent Systems Conference
- 内容：
- SLAM的两个分类简介（LiDAR~ 和 Visual~）
- Positioning定位问题的解决方法发展
- VO(Visual Odometry)的解决方法及发展
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