A5100781848- Human-Automation Interaction and Safety
- Autonomous Vehicle Technology and Safety
- Traffic and Road Safety
- Traffic control and management
- High-Velocity Impact and Material Behavior
- Safety Warnings and Signage
- Dam Engineering and Safety
- Vehicle emissions and performance
- Additive Manufacturing Materials and Processes
- Structural Health Monitoring Techniques
- Traffic Prediction and Management Techniques
- Geomechanics and Mining Engineering
- Cellular and Composite Structures
- Vehicle Dynamics and Control Systems
- Metallurgy and Material Forming
- Geoscience and Mining Technology
- Industrial Technology and Control Systems
- Aluminum Alloys Composites Properties
- EEG and Brain-Computer Interfaces
- Video Surveillance and Tracking Methods
- Electric Vehicles and Infrastructure
- Industrial Automation and Control Systems
- Soil, Finite Element Methods
- Aerospace Engineering and Energy Systems
- Advanced Measurement and Detection Methods
Xidian University
2019-2025
Beijing Jiaotong University
2021-2024
Central South University of Forestry and Technology
2020-2024
Central South University
2023-2024
Yanshan University
2022-2024
Sichuan University
2022-2024
State Key Laboratory of Vehicle NVH and Safety Technology
2020-2024
Henan Polytechnic University
2024
Shijiazhuang Tiedao University
2024
China Automotive Engineering Research Institute
2019-2023
Sandwich panels are often subjected to unpredictable impacts and crashes in applications. The core type impactor shape affect their impact response. This paper investigates the responses of five tandem Nomex honeycomb sandwich with different core-types under low-velocity-impact conditions flat hemispherical impactors. From force response displacement, gradient-tandem foam-filled structures can improve resistance panels. Compared single-layer panel, first peak contact foam-gradient-filled...
Abstract The increasing needs for new types of computing lie in the requirements harsh environments. In this study, successful development a non‐electrical neural network is presented that functions based on mechanical computing. By overcoming challenges low signal transmission efficiency and intricate layout design methodologies, bistable kirigami‐based metamaterials have designed. preliminary tests, system exhibits high reliability recognizing handwritten digits proves operable...
Semi-Supervised Object Detection (SSOD) aims to improve the utilization of unlabeled data, and various methods, such as adaptive threshold techniques, have been extensively studied increase exploitable information. However, these methods are passive, relying solely on original image data. Additionally, existing approaches prioritize predicted categories teacher model while overlooking relationships between different in prediction. In this paper, we introduce a novel approach called Dense...
This paper utilizes trajectory data of electric taxis in Shenzhen to first study the driving characteristics from different indicators such as travel/driving speed, overspeed ratio, and amplitude. A combination weighting VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) evaluation method based on Nash equilibrium is constructed comprehensively assess operation safety various spatiotemporal scenarios. The results show that average speed amplitude battery 39.14 km/h 22.78%, which...
Driver's under-arousal occurred in automated driving systems (ADS) impairs takeover safety. This study aims to determine electrodermal activity (EDA) features' importance for driver's arousal quantification. A car-following simulator was conducted with participants concurrently executing four levels of cognitive tasks, triggering arousal. Participants' skin conductance (SC) data were collected and decomposed into tonic (skin level, SCL) phasic response, SCR) components. Seventeen features...
Drivers gather traffic information primarily by means of their vision. Especially during complicated maneuvers, such as overtaking, they need to perceive a variety characteristics including the lateral and longitudinal distances with other vehicles, speed others lane occupancy, so on, avoid crashes. The primary object this study is examine appropriate visual search patterns overtaking maneuvers on freeways. We designed series driving simulating experiments in which type leading vehicle were...