# SLAM and driving scene reconstruction

Area: [3D reconstruction and neural rendering](https://mlsanity.com/recon3d/index.md). HTML: https://mlsanity.com/recon3d/slam-and-driving-scene-reconstruction/

## Key facts

- SLAM and driving scene reconstruction: 576 papers on arXiv since 2021 (data through 19 Oct 2026).
- 174 of its 576 mapped papers (30%) cite “Gaussian Splatting SLAM” (2023, arXiv 2312.06741).
- 134 of its 576 mapped papers (23%) cite “DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes” (2023, arXiv 2312.07920).
- 12 new papers 1 Oct–19 Oct.

## Most cited here

- [Gaussian Splatting SLAM](https://mlsanity.com/paper/2312.06741/) (2023), cited by 174 papers here
- [DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes](https://mlsanity.com/paper/2312.07920/) (2023), cited by 134 papers here
- [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://mlsanity.com/paper/2311.11700/) (2023), cited by 131 papers here
- [ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields](https://mlsanity.com/paper/2211.11704/) (2022), cited by 114 papers here
- [Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM](https://mlsanity.com/paper/2304.14377/) (2023), cited by 111 papers here
- [Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras](https://mlsanity.com/paper/2311.16728/) (2023), cited by 110 papers here
- [Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting](https://mlsanity.com/paper/2401.01339/) (2024), cited by 91 papers here
- [Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting](https://mlsanity.com/paper/2312.10070/) (2023), cited by 89 papers here
- [Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering](https://mlsanity.com/paper/2311.18561/) (2023), cited by 84 papers here
- [GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction](https://mlsanity.com/paper/2309.02436/) (2023), cited by 75 papers here

## New (1 Oct–19 Oct)

- [MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes](https://mlsanity.com/paper/2610.25345/) (2026-10-18)
- [GeoV2V: Geometry-Grounded Video Diffusion Model for Driving Scene Generation](https://mlsanity.com/paper/2610.25245/) (2026-10-18)
- [DriveWorld3D Evidence Constrained 3D World Modeling and Generative Simulation for Real-World Autonomous Driving](https://mlsanity.com/paper/2610.22450/) (2026-10-15)
- [GS-PRM: Gaussian Visual Roadmap for Image-Goal Navigation](https://mlsanity.com/paper/2610.19541/) (2026-10-14)
- [When pose graphs are not enough: a failure analysis of pose-graph-based camera estimation for Gaussian splatting](https://mlsanity.com/paper/2610.14090/) (2026-10-08)
- [MIRAGE: Metric Inference and Reliability-Aware Gaussian Estimation from Feed-Forward Vision](https://mlsanity.com/paper/2610.12568/) (2026-10-08)
- [2DGS-Planner: Rasterization-based Path Planning in 2D Gaussian Splatting Map](https://mlsanity.com/paper/2610.11752/) (2026-10-08)
- [Digital Twin-Driven Real2Sim2Real: Simulator-Conditioned Generation via Paired Driving-Scene Reconstruction](https://mlsanity.com/paper/2610.08339/) (2026-10-06)
- [Controllable and Photorealistic Pedestrian Risky Motion Generation for End-to-End Driving Safety Evaluation](https://mlsanity.com/paper/2610.06171/) (2026-10-05)
- [F2 SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAM](https://mlsanity.com/paper/2610.05207/) (2026-10-04)
- [Return-to-Home Feasible Micro-Aerial Vehicle Exploration for 3D Gaussian Splatting Reconstruction](https://mlsanity.com/paper/2610.04013/) (2026-10-02)
- [Resolving Mixed Single-Photon LiDAR Returns for Foreground-View and Hidden Scene Reconstruction](https://mlsanity.com/paper/2610.01206/) (2026-10-01)