Gated sensing pipeline drastically reduces bandwidth while missing some events
What a gated sensing pipeline never looks at: bandwidth reduction and the misses behind it
Computer Vision and Pattern Recognition
Summary
Sending full video from an airborne sensor can be impossible due to limited communication links, so this paper looks at sending only important findings to save bandwidth. The authors test a system that combines object detection and comparison techniques to decide when and what information to send, reducing the data sent by tens of thousands of times. However, the system also misses some events, and the paper carefully analyzes where and why these misses happen. The study highlights that the mechanisms which reduce bandwidth also influence what gets reported, so a balance is necessary.
What this means in practice
- •For defense sensor operators: Identify critical targets for airborne sensors operating under communication constraints, sending only essential alerts instead of full video streams.
- •For wildfire monitoring teams: Use gated sensing methods to transmit concise event detections from drones when bandwidth is limited in remote areas.
Tested on one dataset.
Authors
Raghu Venkat, Tricha Anjali
Abstract
An airborne sensor on a contested link cannot send video, so the appealing move is to send findings instead and report the ratio between the two. We evaluate a gated sensing pipeline that does this, combining learned object detection and image-text comparison with deterministic scheduling, gating, evidence accumulation and transmission rules. On staged footage with the semantic stage live it sends 38,736 bits over 211 s, a reduction of 41,977x, and names 1 of 4 staged events with no false report. That detection has since been superseded: a correction to how the tracker measures speed removed the measurement artefact the normality model had been learning from, and the flight no longer warms. Under the corrected code the pipeline names 1 of 7 staged events across four flights, and we report both. On a control flight where nothing was staged it reports nothing, a reduction of 155,830x: the largest number in the study and the least informative, because a reduction ratio measures the scene. The mechanisms that produce the reduction also decide which observations ever reach a decision, so the two cannot be reported apart. We give a tick-level trace of one flight (3,187 rows) that places each of three missed events at the stage where it stopped progressing: one produced no track, one failed the structural place test at 0.129, and one passed 539 structural ticks but reached only 3.192 against a boundary of 3.807. We also report one instance of a known failure mode, an online normality model absorbing the object it will later judge, measured against the threshold that object then failed. The evidence is one detection and six misses across four staged flights, beside one clean control, and we treat it as a case study. We give the reproduction protocol and generated results, identify which supporting artifacts are not distributed, and state which experiments did not run.