accomplishment 发表于 2025-3-25 04:12:27

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并入 发表于 2025-3-25 08:46:18

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缩影 发表于 2025-3-25 13:12:01

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RECUR 发表于 2025-3-25 18:39:06

An Approach for Deriving Reduced Collision Scenarios for Highly Automated Driving Systems

壁画 发表于 2025-3-25 20:01:49

Computer Safety,Reliability, and Security. SAFECOMP 2022 WorkshopsDECSoS, DepDevOps, S

浪费物质 发表于 2025-3-26 02:30:56

Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functionshis publication is the definition of an use case to identify these triggering conditions that have been applied to the collision avoidance function implemented in our self-developed mobile Hardware-in-Loop (HiL) platform.

摇摆 发表于 2025-3-26 07:28:16

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网络添麻烦 发表于 2025-3-26 09:11:29

Criteria for the Analysis of Gaps and Limitations of V&V Methods for Safety- and Security-Critical Snine criteria: functionality, accuracy, scalability, deployment, learning curve, automation, reference environment, cost, and standards. Their use led to more homogeneous and more detailed analyses when compared to similar previous efforts. We argue that the proposed criteria can be helpful to other

Brittle 发表于 2025-3-26 13:38:50

Building a Test Bed for the Periodical Technical Inspection of Sensors Perceiving the Environment innce the periodical technical inspection for passenger cars with regard to advancing driver assistance systems and autonomous driving vehicles as these systems are having a wider impact on the technical state of the vehicle. The focus in this paper is put specifically onto the sensors for the environ

笨拙的你 发表于 2025-3-26 19:41:37

Testing and Verification of the Deep Neural Networks Against Sparse Pixel Defects into the safety-critical systems development process. An empirical evaluation demonstrates that the proposed method outperforms and complements state-of-the-art techniques allowing for complete evaluation of an image recognition system.
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查看完整版本: Titlebook: Computer Safety,Reliability, and Security. SAFECOMP 2022 Workshops; DECSoS, DepDevOps, S Mario Trapp,Erwin Schoitsch,Friedemann Bitsch Conf