Zobrazeno 1 - 10
of 28 555
pro vyhledávání: '"SUN, Jian"'
Scenario-based virtual testing is one of the most significant methods to test and evaluate the safety of automated driving systems (ADSs). However, it is impractical to enumerate all concrete scenarios in a logical scenario space and test them exhaus
Externí odkaz:
http://arxiv.org/abs/2412.00517
The driving interaction-a critical yet complex aspect of daily driving-lies at the core of autonomous driving research. However, real-world driving scenarios sparsely capture rich interaction events, limiting the availability of comprehensive traject
Externí odkaz:
http://arxiv.org/abs/2411.18302
All-in-one image restoration has emerged as a practical and promising low-level vision task for real-world applications. In this context, the key issue lies in how to deal with different types of degraded images simultaneously. In this work, we prese
Externí odkaz:
http://arxiv.org/abs/2411.01656
Autor:
Liu, Jiaqi, Xu, Chengkai, Hang, Peng, Sun, Jian, Ding, Mingyu, Zhan, Wei, Tomizuka, Masayoshi
The cooperative driving technology of Connected and Autonomous Vehicles (CAVs) is crucial for improving the efficiency and safety of transportation systems. Learning-based methods, such as Multi-Agent Reinforcement Learning (MARL), have demonstrated
Externí odkaz:
http://arxiv.org/abs/2410.24152
Autor:
Alsuhaibani, Muath, Fard, Ali Pourramezan, Sun, Jian, Poor, Farida Far, Pressman, Peter S., Mahoor, Mohammad H.
This review paper explores recent advances in deep learning approaches for non-invasive cognitive impairment detection. We examine various non-invasive indicators of cognitive decline, including speech and language, facial, and motoric mobility. The
Externí odkaz:
http://arxiv.org/abs/2410.19898
Introducing foreign ions, atoms, or molecules into emerging functional materials is crucial for manipulating material physical properties and innovating device applications. The intercalation of emerging new materials can induce multiple intrinsic ch
Externí odkaz:
http://arxiv.org/abs/2410.10301
All-microwave control of fixed-frequency superconducting quantum systems offers the potential to reduce control circuit complexity and increase system coherence. Nevertheless, due to the limited control flexibility in qubit parameters, one has to add
Externí odkaz:
http://arxiv.org/abs/2410.07817
In recent years, there has been considerable interest in designing stochastic first-order algorithms to tackle finite-sum smooth minimax problems. To obtain the gradient estimates, one typically relies on the uniform sampling-with-replacement scheme
Externí odkaz:
http://arxiv.org/abs/2410.04761
At present, Connected Autonomous Vehicles (CAVs) have begun to open road testing around the world, but their safety and efficiency performance in complex scenarios is still not satisfactory. Cooperative driving leverages the connectivity ability of C
Externí odkaz:
http://arxiv.org/abs/2409.12812
The development of autonomous vehicles has shown great potential to enhance the efficiency and safety of transportation systems. However, the decision-making issue in complex human-machine mixed traffic scenarios, such as unsignalized intersections,
Externí odkaz:
http://arxiv.org/abs/2409.05712