A5040412645- Autonomous Vehicle Technology and Safety
- Traffic Prediction and Management Techniques
- Traffic control and management
- Building Energy and Comfort Optimization
- Geomagnetism and Paleomagnetism Studies
- Video Surveillance and Tracking Methods
- Traffic and Road Safety
- Geophysical and Geoelectrical Methods
- BIM and Construction Integration
- Advanced Neural Network Applications
- Reinforcement Learning in Robotics
- Image Processing Techniques and Applications
- Supply Chain Resilience and Risk Management
- Earthquake Detection and Analysis
- Aerodynamics and Fluid Dynamics Research
- Machine Fault Diagnosis Techniques
- Robotics and Sensor-Based Localization
- Vitamin K Research Studies
- Sustainable Supply Chain Management
- Smart Agriculture and AI
- Vehicle Dynamics and Control Systems
- VLSI and Analog Circuit Testing
- Urban Heat Island Mitigation
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Vehicle License Plate Recognition
Jilin University
2020-2024
State Key Laboratory of Automotive Simulation and Control
2022-2024
Chalmers University of Technology
2023-2024
Hefei University of Technology
2024
Technical University of Denmark
2023
Zhejiang University of Science and Technology
2021
Shandong Agricultural University
2020
Jilin Medical University
2020
Hohai University
2015
University of Victoria
1990-1992
Thrombo-inflammation is closely associated with a few severe cardiovascular and infectious diseases. Factor XIIa (FXIIa) in the intrinsic coagulation pathway plays pivotal role development of thrombo-inflammation its inhibition has emerged as potential therapeutic approach for thrombo-inflammatory disorders. Nonetheless, now, small-molecule FXIIa inhibitors have demonstrated notable effectiveness against thrombo-inflammation, none progressing into clinical stages. Herein, we present potent,...
The concept of green supply chain management (GSCM) describes how to reduce the negative impact on environment while balancing economic and social benefits a company being in chain. Selecting optimal multi-dimensional GSCM scheme, typical multi-criteria decision-making (MCDM) problem, is crucial step implementing concept. Therefore, this paper constructs index system for comprehensive analysis important influencing factors GSCM. Then, cross-entropy combining interval type-2 trapezoidal fuzzy...
The ability to make informed decisions in complex scenarios is crucial for intelligent automotive systems. Traditional expert rules and other methods often fall short contexts. Recently, reinforcement learning has garnered significant attention due its superior decision-making capabilities. However, there exists the phenomenon of inaccurate target network estimation, which limits scenarios. This paper mainly focuses on study underestimation phenomenon, proposes an end-to-end autonomous...
At present, the sorting of agricultural products in China mainly relies on manual labour, which results low efficiency, and development corresponding automatic equipment lags behind. The grasping method based machine vision has been widely used industry, can provide a reference for products. In this paper, an device was designed. mechanism adopted 4-degree-of-freedom (4-DOF) manipulator, control system monocular camera, realize positioning classification grasp-target. First, geometric model...
Due to the complex intersection and control of multiple structural systems, hydrogeological conditions Laiyuan Basin in China are complex. The depth research on relationship between geological structure groundwater migration needs be improved. supply each aquifer is still uncertain. This paper systematically conducts characteristics hydrogen oxygen isotopes, combines magnetotelluric impedance tensor decomposition two-dimensional fine inversion technology carry out exploration strata...
BIM Based Information Delivery Controlling System Brian Klusmann, Zhiwei Meng, Noemi Kremer, Anica Meins-Becker and Manfred Helmus Pages 215-222 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844) Abstract: The definition how agreed information deliveries in building projects are achieved implemented for different objectives use cases is always a major topic project management. This procedure normally specified accordance with international...
Web-Based Communication Platform for Decision Making in Early Design Phases Zhiwei Meng, Ata Zahedi and Frank Petzold Pages 1000-1007 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7) Abstract: During early phases building design, architects create many variants make important decisions about different design aspects details mostly based on their own experience know-how. In order to reduce risks brought by arbitrary decisions, a lot effort was put into...
In unstructured environments, obstacles are diverse and lack lane markings, making trajectory planning for intelligent vehicles a challenging task. Traditional methods typically involve multiple stages, including path planning, speed optimization. These require the manual design of numerous parameters each stage, resulting in significant workload computational burden. While end-to-end simple efficient, they often fail to ensure that meets vehicle dynamics obstacle avoidance constraints...
Railway switches are vital for ensuring the safety of railroad transportation by managing transitions between different tracks. We propose a skip feature enhanced multi-source fusion network with an attention mechanism effectively identifying switch states. To further improve performance, we data augmentation method region horizontal splice 16 images and novel intersection over union loss function that takes into account area aspect ratio both predicted ground truth boxes. Finally, state...
In autonomous driving, accurately predicting the trajectories of surrounding vehicles is essential, particularly in dense and heterogeneous urban traffic. We propose a graph-structured model with category layer to efficiently forecast target vehicle's trajectory. The enables flexible selection interacting objects based on environmental interactions extracts spatial-temporal features using graph convolutional network. A categorical introduced account for different influences dynamic agents,...
Predicting future trajectories is crucial for autonomous vehicles, as accurate predictions enhance safety and inform subsequent decision-making planning modules. This however a challenging task due to the complex interactions between surrounding vehicles. Existing methods struggled extract deep representations often overlook spatial dependence. To address this problem, paper introduces GIVA, an interaction-aware trajectory prediction method based on Gated Recurrent Unit (GRU)-Improved Visual...
In order to improve the effective sunshine time, heat storage capacity and temperature distribution uniformity of traditional arch shed under low temperature, this paper designed a large-span which has larger sunny side span east-west orientation. According numerical measured data, it is concluded that asymmetrical are better than those symmetrical within certain range ratio between shaded side. After that, ten different asymmetric sheds were designed. It structure 11+9 m along north-south...
To improve the efficiency of recycling strategies in closed-loop supply chain, chain consisting one manufacturer and retailer third-party is studied.The cooperative model (R3P mode) designed whereby collects end-of-life products cooperates with firm to handle used products.The two-stage Stackelberg game R3P mode developed under uncertain demand leading.The optimal results are compared collection (3P mode).Through analysis, it shown that prefers when unit profit reusing obsolete higher,...
Abstract In order to solve the hot soak effect of car during summer parking, CFD numerical method was used simulate cooling law passenger cabin under different inlet area, velocity and angle at top vent. From two dimensions rate effect, influence natural ventilation forced on characteristics were studied. The results show that condition ventilation, can reach thermal balance about 10 min vent area conditions, is largest when fully opened, minimum temperature 45 °C within 4 min, which higher...
Dangerous scenario modeling is of great significance for the development automatic driving functions, and active collision avoidance system directly affects safety vehicles intelligence level vehicles. However, current existing risk evaluation methods are difficult to comprehensively evaluate different dangerous scenarios, complicated there no normalized description form. In addition, traditional decision-making method based on time distance will lead problems inconsistent scale single way...