A Review of Sensor Technologies for Perception in Automated Driving

Enrique David Marti, Miguel Angel de Miguel, Fernando Garcia, Joshue Perez

Research output: Contribution to journalArticlepeer-review

186 Citations (Scopus)
1 Downloads (Pure)

Abstract

After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show future market trends in sensors technologies for Automated Vehicles.
Original languageEnglish
Article number8846569
Pages (from-to)94-108
Number of pages1
JournalIEEE Intelligent Transportation Systems Magazine
Volume11
Issue number4
DOIs
Publication statusPublished - 23 Sept 2019

Keywords

  • Automated Driving
  • Cameras
  • Robot sensing systems
  • Accidents
  • Laser radar
  • Roads

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/692455/EU/European Initiative to Enable Validation for Highly Automated Safe and Secure Systems/ENABLE-S3
  • Funding Info
  • This work has been partly supported by ECSEL Project ENABLE-_x000D_S3 (with grant agreement number 692455-2), by the_x000D_Spanish Government through CICYT projects (TRA2015-_x000D_63708-R and TRA2016-78886-C3-1-R).

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