Terrain Sensing with Smartphone Structured Light: 2D Dynamic Time Warping for Grid Pattern Matching
Tanaka Nobuaki

TL;DR
This paper introduces a smartphone-based structured-light system for terrain sensing that uses a novel 2D-DTW algorithm to match grid patterns under perspective distortion, enabling accurate local terrain reconstruction on resource-limited devices.
Contribution
It presents a topology-constrained 2D-DTW algorithm for robust grid pattern matching, adaptable for terrain sensing and image processing, suitable for resource-constrained platforms.
Findings
Effective terrain unevenness reconstruction from a single smartphone.
Robust grid matching under perspective distortion and occlusion.
Versatile application of 2D-DTW for structured pattern matching.
Abstract
Low-cost mobile rovers often operate on uneven terrain where small bumps or tilts are difficult to perceive visually but can significantly affect locomotion stability. To address this problem, we explore a smartphone-based structured-light system that projects a grid pattern onto the ground and reconstructs local terrain unevenness from a single handheld device. The system is inspired by face-recognition projectors, but adapted for ground sensing. A key technical challenge is robustly matching the projected grid with its deformed observation under perspective distortion and partial occlusion. Conventional one-dimensional dynamic time warping (1D-DTW) is not directly applicable to such two-dimensional grid patterns. We therefore propose a topology-constrained two-dimensional dynamic time warping (2D-DTW) algorithm that performs column-wise alignment under a global grid consistency…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotics and Sensor-Based Localization · Interactive and Immersive Displays · Indoor and Outdoor Localization Technologies
