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Toward autonomous vehicles and machinery in mill yards of the forest industry: Technologies and proposals for autonomous vehicle operations
The use of autonomous systems at wood processing sites of forest industries can
significantly increase safety, productivity and efficiency by reducing the number of …
significantly increase safety, productivity and efficiency by reducing the number of …
Risk assessment methodologies for autonomous driving: A survey
Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …
as one of the major mobility disruptors and being a potential candidate for deployment in …
Development methodologies for safety critical machine learning applications in the automotive domain: A survey
Enabled by recent advances in the field of machine learning, the automotive industry pushes
towards automated driving. The development of traditional safety-critical automotive …
towards automated driving. The development of traditional safety-critical automotive …
Risk ranked recall: Collision safety metric for object detection systems in autonomous vehicles
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP)
do not give complete information about their suitability of use in safety critical tasks, like …
do not give complete information about their suitability of use in safety critical tasks, like …
Recent trends in formal validation and verification of autonomous robots software
The consequences of autonomous systems software failures can be potentially dramatic.
There is no need to darken the picture, but still, it seems unlikely that people, insurance …
There is no need to darken the picture, but still, it seems unlikely that people, insurance …
Comprehensive evaluation of freeway driving risks based on fuzzy logic
L **e, J Zhang, R Cheng - Sustainability, 2023 - mdpi.com
The quantitative evaluation of driving risk is a crucial prerequisite for intelligent vehicle
accident warning, and it is necessary to predict it comprehensively and accurately …
accident warning, and it is necessary to predict it comprehensively and accurately …
Self healing databases for predictive risk analytics in safety-critical systems
Assuring the quality, consistency and accuracy of safety data repositories is essential in
safety-critical systems. In many systems, however, significant effort is required to identify …
safety-critical systems. In many systems, however, significant effort is required to identify …
Ladri: Learning-based dynamic risk indicator in automated driving system
As the horizon of intelligent transportation expands with the evolution of Automated Driving
Systems (ADS), ensuring paramount safety becomes more imperative than ever. Traditional …
Systems (ADS), ensuring paramount safety becomes more imperative than ever. Traditional …
Infrastructure-based pedestrian risk tagging methodology to support AV risk assessment
Safety is paramount in AV deployment. Traditionally, AV safety is incorporated during
development by identifying the failure of vehicular components using risk and scenarios …
development by identifying the failure of vehicular components using risk and scenarios …
AR/VR technology for autonomous vehicles and knowledge-based risk assessment
Abstract The advancement of Artificial Intelligence (AI), which includes Augmented Reality
(AR) and Virtual Reality (VR), has sped up the continuous advancement and deployment of …
(AR) and Virtual Reality (VR), has sped up the continuous advancement and deployment of …