SC3D: Semantic-guided and Class-adaptive cross-domain fusion for 3D object detection in autonomous vehicles
Accurate 3D object detection is critical for safe autonomous driving and smart mobility
applications. Existing fusion methods that combine camera and LiDAR data face …
applications. Existing fusion methods that combine camera and LiDAR data face …
[HTML][HTML] Early fault detection with health stage division: an adversarial learning method with model update mechanism for condition monitoring
Y Wang, Q Wang, S Bernat, A Vinogradov - Engineering Applications of …, 2025 - Elsevier
Early fault detection (EFD) presents significant challenges due to the subtle nature of
abnormal signals during this phase. Traditional EFD methods primarily focus on identifying …
abnormal signals during this phase. Traditional EFD methods primarily focus on identifying …
[HTML][HTML] Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model
Stereo-orientation selectivity is a fundamental neural mechanism in the brain that plays a
crucial role in perception. However, due to the recognition process of high-dimensional …
crucial role in perception. However, due to the recognition process of high-dimensional …
[HTML][HTML] Optimized Frontier-Based Path Planning Using the TAD Algorithm for Efficient Autonomous Exploration
A novel path-planning method utilizing the trapezoid, adjacent, and distance,(TAD)
characteristics of frontiers is presented in this work. The method uses the mobile robot's …
characteristics of frontiers is presented in this work. The method uses the mobile robot's …
[HTML][HTML] Integrating Environmental Data for Mental Health Monitoring: A Data-Driven IoT-Based Approach
Mental health disorders constitute a significant global challenge, compounded by the
limitations of traditional management approaches that rely heavily on subjective self-reports …
limitations of traditional management approaches that rely heavily on subjective self-reports …