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Driver Identification Methods in Electric Vehicles, a Review
World Electric Vehicle Journal, 2022 Driver identification is very important to realizing customized service for drivers and road traffic safety for electric vehicles and has become a research hotspot in the field of modern automobile development and intelligent transportation.
Dengfeng Zhao +5 more
doaj +3 more sources
Forensic Driver Identification Considering an Unknown Suspect
International Journal of Applied Mathematics and Computer Science, 2021 One major focus in forensics is the identification of individuals based on different kinds of evidence found at a crime scene and in the digital domain.
Dološ Klara +3 more
doaj +2 more sources
Towards Imbalanced Multiclass Driver Distraction Identification
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Driver distraction is one of the leading causes of driving-related accidents worldwide. The ability to detect driver distraction preemptively is crucial to reducing the number of such accidents.
Kapotaksha Das +3 more
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Simultaneous identification of multiple driver pathways in cancer. [PDF]
PLoS Computational Biology, 2013 Distinguishing the somatic mutations responsible for cancer (driver mutations) from random, passenger mutations is a key challenge in cancer genomics.
Mark D M Leiserson +3 more
doaj +4 more sources
Identification of Driver Status Hazard Level and the System
Sensors, 2023 According to the survey statistics, most traffic accidents are caused by the driver’s behavior and status irregularities. Because there is no multi-level dangerous state grading system at home and abroad, this paper proposes a complex state grading ...
Jiayuan Gong, Shiwei Zhou, Wenbo Ren
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Current state and progress of research on forensic biomechanics in China
Forensic Sciences Research, 2021 Forensic biomechanics gradually has become a significant component of forensic science. Forensic biomechanics is evidence-based science that applies biomechanical principles and methods to forensic practice, which has constituted one of the most ...
Yijiu Chen
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Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms
Sensors, 2023 Driver identification refers to the process whose primary purpose is identifying the person behind the steering wheel using collected information about the driver him/herself. The constant monitoring of drivers through sensors generates great benefits in
Carlos H. Espino-Salinas +9 more
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IEEE Access, 2022 Driver identification systems that use deep-neural-network-based sequential models have been studied for personalized intelligent vehicles. After a vehicle starts moving for a trip, the system identifies the driver at each time step using accumulated ...
Jaebong Lim, Yunju Baek, Bumhee Chae
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Sensors, 2020 Driver-centered infotainment and telematics services are provided for intelligent vehicles that improve driver convenience. Driver-centered services are performed after identification, and a biometrics system using bio-signals is applied.
Gyu Ho Choi, Kiho Lim, Sung Bum Pan
doaj +1 more source
An unsupervised approach for automotive driver identification [PDF]
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018 The adoption of on-vehicle monitoring devices allows different entities to gather valuable data about driving styles, which can be further used to infer a variety of information for different purposes, such as fraud detection and driver profiling. In this paper, we focus on the identification of the number of people usually driving the same vehicle ...
Mainardi, Nicholas +4 more
openaire +2 more sources