Specification-Based Testing of the Image-Recognition Performance of Automated Driving Systems
Automated driving systems (ADSs) are complex entities comprising numerous components, and traditional testing methods often struggle to ensure their safety, primarily due to the diversity driving environments. Interestingly, deep neural networks (DNNs) have proven effective for object detection in t...
Saved in:
Main Authors: | Kento Tanaka, Toshiaki Aoki, Takashi Tomita, Daisuke Kawakami, Nobuo Chida |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10795175/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors
by: Tagyoung Kim, et al.
Published: (2025-01-01) -
Automated class diagram elicitation using intermediate use case template
by: Shweta, et al.
Published: (2021-02-01) -
A survey of cybersecurity for intelligent connected-automated vehicle
by: Yufeng LI, et al.
Published: (2020-04-01) -
Evaluation of Teleoperation Concepts to Solve Automated Vehicle Disengagements
by: David Brecht, et al.
Published: (2024-01-01) -
Specifics of covering migration problems in regional printed mass media
by: A.Yu. Anisimov, et al.
Published: (2017-06-01)