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Sensors and Sensing for Intelligent Vehicles.

David Fernández Llorca1, Iván García Daza1, Noelia Hernández Parra1

  • 1Computer Engineering Department, University of Alcalá, 28805 Madrid, Spain.

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|September 11, 2020
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Summary
This summary is machine-generated.

Intelligent vehicles require advanced perception systems for safe operation. This analysis of the Special Issue on Intelligent Vehicles highlights environmental understanding and hazard inference as key challenges for widespread adoption.

Area of Science:

  • Intelligent transportation systems
  • Robotics and automation
  • Computer vision and perception
Keywords:
automatic operationdriver behavior modellingfail-x systemsintelligent vehiclesobject detection and trackingpercepctionscene segmentationscene understandingsensingsensorsvehicle positioning

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Background:

  • Significant advancements in intelligent vehicle (IV) technology have led to autonomous prototypes across various transport modes.
  • Widespread adoption of IVs is hindered by unresolved technical challenges, primarily in environmental perception and hazard prediction.
  • The complexity and variability of operational scenarios make perception an ongoing, critical research area.