A5100451093- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Cellular and Composite Structures
- Traffic Prediction and Management Techniques
- Traffic and Road Safety
- Electric and Hybrid Vehicle Technologies
- Robotic Path Planning Algorithms
- Hydraulic Fracturing and Reservoir Analysis
- Mechanical Engineering and Vibrations Research
- Human-Automation Interaction and Safety
- Hydrocarbon exploration and reservoir analysis
- NMR spectroscopy and applications
- Magnetic Bearings and Levitation Dynamics
- Electric Vehicles and Infrastructure
- Topology Optimization in Engineering
- Railway Engineering and Dynamics
- Inertial Sensor and Navigation
- Automotive and Human Injury Biomechanics
- Energy Efficient Wireless Sensor Networks
- Robot Manipulation and Learning
- Iterative Learning Control Systems
- Advancements in Transdermal Drug Delivery
- Acupuncture Treatment Research Studies
- Brake Systems and Friction Analysis
- Dynamics and Control of Mechanical Systems
Nanjing University of Aeronautics and Astronautics
2015-2025
Daqing Oilfield of CNPC
2024
Daqing Oilfield General Hospital
2024
Southeast University
2023
State Key Laboratory of Digital Medical Engineering
2023
China Astronaut Research and Training Center
2023
State Key Laboratory of Space Medicine Fundamentals and Application
2023
Liaoning Cancer Hospital & Institute
2016
Dalian Medical University
2016
University of Michigan–Ann Arbor
2015
In order to solve the manual labelling, long-tail effect and driving conservatism of existing decision-making algorithm. This paper proposed an integrated framework (IDF) for highway autonomous vehicles. Firstly, states traffic are extracted by velocity, time headway (TH) probabilistic lane distribution surrounding With state, reinforcement learning (RL) is adopted learn optimal state-action pair specific scenario. Analogously, mapping millions scenarios, huge amounts pairs can be stored in...
In vitro skin models are rapidly developing and have been widely used in various fields as an alternative to traditional animal experiments. However, most static constructed on Transwell plates without a dynamic three-dimensional (3D) culture microenvironment. Compared with native human skin, such not completely biomimetic, especially regarding their thickness permeability. Therefore, there is urgent need develop automated biomimetic microphysiological system (MPS), which can be construct...
In the stage of man-machine cooperative driving, accurately predicting trajectory ego vehicle can help intelligent system understand future risk and adjust control authority man-machine, thereby improving performance eliminating conflicts. However, existing high-performance prediction methods are more focused on fully autonomous vehicles, it is difficult to deal with problem driving different risks when driver in loop. So, an method based time-feature encoding physics-intention decoding...
Multi-sensor fusion positioning is an important technology for achieving high-precision of intelligent vehicles in complex road scenes. However, existing algorithms are difficult to guarantee the accuracy and robustness uncertain abnormal noise interference environments. Therefore, this paper proposes adaptive robust federated Kalman filter based on student's t-distribution (ARFKF-ST). In method, better describe system with heavy tail-non-Gaussian under interference, a hierarchical Gaussian...
In the switching process of driving authority for man-machine cooperative driving, it should be ensured that driver can take over vehicle safely, stably and efficiently. This paper proposes a allocation strategy based on real-time domain (RAD), which mainly includes establishment RAD dynamic optimization. The is comprehensive internal, whose range determined by corresponding values driver's cognitive state, muscle state environment state. optimization to search optimal in at any time, its...
The Gulong shale demonstrates high clay content and pronounced thin laminations, with limited vertical variability in log curves, complicating lithofacies classification. To comprehend the distribution compositional features of for optimal sweet spot selection reservoir stimulation, this study introduced a classification scheme log-based evaluation method. Specifically, ΔlgR method was utilized accurately determining total organic carbon (TOC) content; multi-mineral model based on...
The core of the exploration and development unconventional oil gas resources, such as shale oil, lies in effective identification scale utilization sweet spot. Oil saturation is an important parameter evaluating Aiming to solve many current problems logging evaluations reservoirs, this study outlines research progress from three aspects, namely, electrical method, non-electrical machine learning, through researching literature practical applications. At same time, several typical models are...
Accurate pedestrian trajectory prediction is significant and challenging for traffic-actor protection intelligent driving. However, most of the existing methods focus on pedestrian-pedestrian interaction ignoring pedestrian-vehicle containing much ineffective interaction. To tackle problem, this paper proposes a spatiotemporal LSTM attention network (STLAN) based dual module (STDAM). First, social force model established to analyze effective in mixed traffic scene. Second, architecture...
Topology design is the most important method of obtaining optimal material distribution that directly related to mechanical properties structural materials. Aimed at improving accuracy and efficiency topology design, this paper explores an innovative topological technique integrates a sigmoid-rational approximation approach, with modified optimality criteria algorithm. Furthermore, three-dimensional (3D) star-shaped auxetic structure, based on approach proposed. The unit cell parameters are...
In order to ensure a safer and more reliable trajectory during the lane change process, motion decision algorithm needs predict possibility of different interaction behaviours with surrounding vehicles then makes an advantageous decision. For this purpose, method considering is proposed. Firstly, study builds payoff functions determine driving revenue autonomous vehicles. Then, interactive prediction based on game theory established future local trajectories Based this, Nash Q‐learning for...
Background: Researchers have found applications for auricular therapy (AT) treating depression. There is, however, a lack of comprehensive evaluation AT's effects and safety. Objective: The objective this review was to evaluate the safety efficacy AT Methods: Ten databases were used search randomized controlled quasi-randomized trials relating Related available articles up January 2016 research. Rev Man 5.2 software data analysis with effect estimate presented as relative risk mean...
On-ramp is one of the scenarios most likely to cause traffic accidents and congestion. In order mitigate conflict between mainline vehicles ramp vehicles, improve vehicle safety travel efficiency, we propose an interactive on-ramp merging decision-making (IORMDM) method based on motion prediction. We first a prediction for different actions model predictive control. Meanwhile, game theory employed construct interaction behavior vehicle, motivation modeled describe collision risk it with end...
In order to reduce the solving dimension of trajectory planning process and improve efficiency, path speed are often decoupled in intelligent vehicles. However, under existing serial decoupling framework, that is, is planned first then planned, collaborative relationship between weak, usually can only be carried out fixed planning. The cannot adjusted according state, making it difficult balance overall performance trajectory. Therefore, scenarios require close coordination two, such as...