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

Darsith Jayachandran; Saptarshi Das

doi:10.1007/978-3-031-11506-6_6

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

Darsith Jayachandran
, Saptarshi Das

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

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 language	English (US)
Title of host publication	Near-sensor and In-sensor Computing
Publisher	Springer International Publishing
Pages	121-142
Number of pages	22
ISBN (Electronic)	9783031115066
ISBN (Print)	9783031115059
DOIs	https://doi.org/10.1007/978-3-031-11506-6_6
State	Published - Jan 1 2022

All Science Journal Classification (ASJC) codes

General Engineering

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10.1007/978-3-031-11506-6_6

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

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