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A framework integrating multiscale in silico modeling and experimental data predicts CAR-NK cell cytotoxicity across target cell types. [PDF]

Proc Natl Acad Sci U S A
Ahmad S, Xing K, Pereira MSF, Castle S, Rajakaruna H, Nayak I, Stewart WC, Beckwith KA, Cairo MS, Naeimi Kararoudi M, Lee DA, Das J.   +11 more
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Semantic Segmentation-Inspired Prediction of Pavement Adhesion Coefficient

2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2023
Accurate prediction of the adhesion coefficient parameters of the road ahead is critical to the driving safety of intelligent driving vehicles, however, the current stage of raw image-based methods are difficult to achieve high-precision and reliable ...
Hongyan Guo, Juncheng Wan, Qingyu Meng, Yanran Liu   +3 more
openaire   +2 more sources

Road Adhesion Coefficient Estimation Based on LiDAR Reflectance Intensity

IEEE Sensors Journal
Road surface condition is a crucial factor affecting vehicle safety. Accurate and rapid identification of road conditions can enhance the adaptability of active safety control systems to adapt to complex working conditions, while predicting the road ...
Bo Li, Wenjuan E, Tianliu Feng, Yanchao Ding, Yao Li, Xiang Wang, Xingxing Jiang, Changqing Shen   +7 more
openaire   +2 more sources

Tire-Road Peak Adhesion Coefficient Estimation Based on Multisource Information Assessment

IEEE Transactions on Intelligent Vehicles, 2023
The tire-road peak adhesion coefficient (TRPAC) is defined as the ratio of the peak adhesion to the vertical load of the tire, which can characterize the ability of a tire to adhere to the road.
Bo Leng, Cheng Tian, Xinchen Hou, Lu Xiong, Wenrui Zhao, Zhuoping Yu   +5 more
openaire   +2 more sources

Tire-Road Peak Adhesion Coefficient Estimation Method Based on Fusion of Vehicle Dynamics and Machine Vision

IEEE transactions on intelligent transportation systems (Print), 2022
The tire-road peak adhesion coefficient (TRPAC) describes the tire adhesion limit that a road can provide. The TRPAC is a key parameter for precise vehicle motion control and an important basis for decision-making and planning of intelligent vehicles ...
B. Leng, Da Jin, Xinchen Hou, Chengjun Tian, Lu Xiong, Zhuoping Yu   +5 more
semanticscholar   +1 more source

Road Adhesion Coefficient Estimation

Applied Mechanics and Materials, 2011
Taking four in-wheel-motor electric vehicle as research subject, the paper focuses on the estimation of road adhesion coefficient based on curve. Through adding a forget factor, an improved algorithm on the basis of Forget Kalman Filter is proposed to estimate the slope of the curve at low slip rate.
Yan An Sun, Lu Xiong, Zhuo Ping Yu, Yuan Feng, Long Jie Ren   +4 more
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Identification of the tire model and road adhesion coefficient based on vehicle dynamic response data and the BP neural network algorithm

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2022
The longitudinal and lateral dynamic responses of a vehicle are essentially determined by the forces resulting from the contact between the tire and road surface. Therefore, identifying the tire model and road adhesion coefficient plays an important role
Y. Zhu, Tingfang Zhang, Aichun Wang, Juhua Huang, Xiaojian Wu   +4 more
semanticscholar   +1 more source