Moving Vehicle Obstacle Predetection With Telemetry Sensing Signal Prediction by Negative Group Delay Method

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Authors: Blaise Ravelo, Mathieu Guerin, Wenceslas Rahajandraibe, Thierry Bouwmans, Sébastien Lalléchère, Lala Rajaoarisoa
Cited by: 0

Abstract

This article develops a vehicle-obstacle anti-collision system based on negative group delay (NGD) function. As theory, the anti-collision pre-detector design and implementation are described by exploiting the NGD time-advancetato anticipate obstacle positioning relatively to a moving object and required safety distance. The NGD pre-detector design equation and methodology are formulated as function of ta. The NGD anti-collision system is validated with realistic demonstration constituted by a mini-vehicle equipped with a telemetry sensor moving along an 85-cm track towards an obstacle. NGD circuit implemented on microcontroller and Arduino UNO platform in good agreement with theory confirms obstacle pre-detection at 30-cm and 50-cm safety distances withta={-0.1, -0.2, -0.3} seconds. The NGD anti-collision system has notable benefits astaflexibility, low-power consumption, learning phase unnecessity and embedding simplicity. As future work, the NGD method will be integrated in anti-accident industrial systems by providing optimal safety distance allowing to react quickly and effectively to obstacle warnings by maximizing response time.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Autonomous Vehicle Technology and Safety Radar Systems and Signal Processing

Publication details

Journal / source
IEEE Transactions on Instrumentation and Measurement
Volume
75
Pages
1–15
Publication date
1 January 2026
Language
EN