학술논문

Toward Development of Ecosystem for Connected Autonomous Vehicles: Challenges of Modeling and Testing Sensors
Document Type
Periodical
Source
IEEE Sensors Letters IEEE Sens. Lett. Sensors Letters, IEEE. 8(3):1-2 Mar, 2024
Subject
Components, Circuits, Devices and Systems
Robotics and Control Systems
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Sensors
Testing
Sensor fusion
Sensor systems
Autonomous vehicles
Standards
Sensor phenomena and characterization
connected autonomous vehicles (CAVs)
modeling
sensors
testing
Language
ISSN
2475-1472
Abstract
Connected autonomous vehicles (CAVs) are currently in the testing and evaluation stage as there are still many challenges to be addressed before CAVs can appear on public roads at mass scale. This letter outlines key areas needed for improvement in CAV sensors technology to accelerate deployment of CAVs. These areas include low-fidelity sensor models used in virtual testing, definition of performance envelopes for individual or fused CAV sensors, impact of sensor deterioration on a CAV's decision-making system, stimulation of real sensors with data generated in virtual testing environments, and a shortfall in industry standards for CAV perception systems testing.