Collision Avoidance Systems and Emerging Bio-inspired Sensors for Autonomous Vehicles

Darsith Jayachandran, Saptarshi Das

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Collision detection and avoidance are critical tasks for manned and unmanned vehicles, flying drones, and robots navigating complex terrestrial and extraterrestrial geographies. In this book chapter, we review different state-of-the-art collision avoidance sensors such as Radar, LiDAR, ultrasonics, and imaging systems. We also discuss emerging bio-inspired alternatives for low-power design of collision avoidance systems. Finally, we conclude with the prospect of sensor fusion technology for collision avoidance.

Original languageEnglish (US)
Title of host publicationNear-sensor and In-sensor Computing
PublisherSpringer International Publishing
Pages121-142
Number of pages22
ISBN (Electronic)9783031115066
ISBN (Print)9783031115059
DOIs
StatePublished - Jan 1 2022

All Science Journal Classification (ASJC) codes

  • General Engineering

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