The autonomous driving of heavy-duty tracked vehicles (HTVs) is prone to significant
position and posture deviation at the end of walking part in trajectory tracking control, which …

This paper develops a novel online nearly optimal control (ONOC) method for unknown
continuous-time (CT) nonaffine nonlinear systems without recovering unknown systems …

Perception modules in Autonomous Driving Systems (ADS) provide excellent performance
in simple, constrained environments but generally have precarious performance in real …

Artificial technologies have made rapid progress and achieved various superior tasks in the
past few years, including but not limited to classification, detection, image generation and …

The accurate detection of insulators is an important prerequisite for insulator fault diagnosis.
To solve the problem of background interference and overlap caused by the axis-aligned …

In this paper, the Generative Adversarial Network is utilized to generate more training
samples from the real-time environment. This increases the nature of training the model …

具身智能突破了传统人工智能的界限, 强调了机器与物理世界交互的重要性,
旨在通过促进软硬件一体化智能体的环境适应性学习和智能行为的演化, 解决更多智能系统在 …

Estimating Visual Quality of Street Space (VQoSS) is pivotal for urban design, environmental
sustainability, civic engagement, etc. Recent advancements, notably in deep learning, have …

轨迹预测的不确定性会引发汽车换道避撞系统的预期功能安全(Safety of the intended
functionality, SOTIF) 风险, 为此提出一种基于轨迹预测安全边界的智能汽车换道避撞控制方法 …

Achieving top-notch performance in Intelligent Transportation detection is a critical research
area. However, many challenges still need to be addressed when it comes to detecting in a …