AirLog: Store-Level Indoor Life Logging Made Easy

arXiv:2609.31864 · cs.NI, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.NI, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/location-competition/indoorlocation-competition-20

Terminology

• Trace — 20× in this paper · explained in 2 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Grounding — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Fingerprinting — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Motion Primitives — 2× in this paper · explained in 2 episodes
• Agent Skills — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Trajectories — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• IoT-LLM: a framework for enhancing Large Language Model reasoning from real-world sensor data
• Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization
• SAM 3: Segment Anything with Concepts
• FloorPlan-VLN: A New Paradigm for Floor Plan Guided Vision-Language Navigation
• Image Generators are Generalist Vision Learners
• LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
• VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
• Can Large Vision Language Models Read Maps Like a Human?
• Recursive Matrix Algorithms in Commutative Domain for Cluster with Distributed Memory
• ReAct: Synergizing Reasoning and Acting in Language Models
• Wi-Chat: Large Language Model Powered Wi-Fi Sensing
• NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models

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