SLAMSqueezeBench: Comparing SLAM Systems under Resource Constraints

arXiv:2609.19533 · cs.RO · Submitted 2026-09-17 · Read on arXiv

cs.RO

Submitted: 2026-09-17

Updated: 2026-09-17

Code: https://github.com/sfu-rsl/SLAMAdversarialLab

Terminology

• Core — 39× in this paper · explained in 2 episodes
• Resource Constraints — 14× in this paper · explained in 3 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Benchmarking — 7× in this paper · explained in 3 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Absolute Trajectory Error — 2× in this paper
• Stale Pose Error — 2× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Gaussian Splatting — 1× in this paper · explained in 4 episodes

Sources

• SLAM Adversarial Lab: An Extensible Framework for Visual SLAM Robustness Evaluation under Adverse Conditions
• SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM
• VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets
• TartanAir: A Dataset to Push the Limits of Visual SLAM
• SAM 3: Segment Anything with Concepts
• cuVSLAM: CUDA accelerated visual odometry and mapping

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