Results 61 to 70 of about 1,070,284 (327)
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
, 2018 Because of their recent introduction, self-driving cars and advanced driver assistance system (ADAS) equipped vehicles have had little opportunity to learn, the dangerous traffic (including near-miss incident) scenarios that provide normal drivers with ...
Kataoka, Hirokatsu +4 more
core +1 more source
The Design of Preventive Automated Driving Systems Based on Convolutional Neural Network
Electronics, 2021 As automated vehicles have been considered one of the important trends in intelligent transportation systems, various research is being conducted to enhance their safety.
Wooseop Lee +3 more
semanticscholar +1 more source
International Journal of Automotive Engineering, 2016 To realize driver assistance systems based on automated driving technologies, intelligent vehicles need to recognize surrounding driving environments.
Takuma Ito +3 more
doaj +1 more source
ODD and Behavior Based Scenario Generation for Automated Driving Systems
IEEE AccessAutomated Driving Systems (ADSs) bring many benefits, however their safety assurance poses challenges. Scenario-based testing has been proposed. To provide strong safety evidence for their safety assurance, the scenario-based testing process needs to ...
Xizhe Zhang +5 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
IET Intelligent Transport Systems, 2023 The purpose of the study was to investigate how drivers use assisted and automated driving systems (DAS), more specifically their usage of SAE Level 1 and Level 2 systems, in different situations.
MariAnne Karlsson, Fjollë Novakazi
doaj +1 more source
An Analysis of Testing Scenarios for Automated Driving Systems
IEEE International Conference on Software Analysis, Evolution, and Reengineering, 2021 Automated Driving System refers to a vehicle system where hardware and software are collectively capable of on-road operational and tactical functions and such functions involve the detection, recognition, classification of objects and response to events.
Siyuan Liu, Luiz Fernando Capretz
semanticscholar +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?
Vehicles, 2021 Road markings are beneficial to human drivers, advanced driver assistance systems (ADAS), and automated driving systems (ADS); on the contrary, snow coverage on roads poses a challenge to all three of these groups with respect to lane detection, as white
Ane Dalsnes Storsæter +2 more
doaj +1 more source
Network of automated vehicles: the AutoNet 2030 vision [PDF]
, 2014 electronic proceedingsInternational audienceAutoNet2030 - Co-operative Systems in Support of Networked Automated Driving by 2030 - is a European project connecting two domains of intensive research: cooperative systems for Intelligent Transportation ...
Bonnabel, Silvère +10 more
core