Urban Air Mobility (UAM) is particularly vulnerable to wind hazards, and conventional weather monitoring tools often do not offer the detailed, real-time information needed for safe operations. This research, which examines the visual perception of the on-board cycloidal scanning LiDAR system in improving UAM safety, is of significant importance. The cycloidal scanning LiDAR system, designed explicitly for on-board integration, delivers high-resolution visual mapping, real-time data processing, and comprehensive environmental scanning with 360° rotational capabilities. Its lightweight design and low power consumption make it well-suited for UAM applications, providing continual visual updates on wind conditions along the flight path. This study underscores the system's effectiveness in providing advanced visual perception for UAM operations. By emphasizing the crucial role of visual perception in identifying and responding to wind hazards, the research highlights the significance of this technology in guaranteeing safe and efficient UAM operations. Striking a balance between real-time visual capabilities and practical considerations such as power, size, and weight is vital to optimizing UAM safety and efficiency.
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http://dx.doi.org/10.1038/s41598-025-89112-y | DOI Listing |
Handb Clin Neurol
March 2025
Sorbonne Université, Institut du Cerveau/Paris Brain Institute-ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France. Electronic address:
Despite our subjective experience of a largely symmetric visual world, the human brain exhibits varying patterns and degrees of hemispheric asymmetry in distinct processes of visual cognition. This chapter reviews behavioral and neuroimaging evidence from neurotypical individuals and neurological patients, concerning functional asymmetries between the right hemisphere (RH) and the left hemisphere (LH) in visual object processing and mental imagery. Hierarchical perception shows RH preference for global processing and LH preference for local processing.
View Article and Find Full Text PDFHandb Clin Neurol
March 2025
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States. Electronic address:
A defining characteristic of the human brain is that, notwithstanding the clear anatomic similarities, the two cerebral hemispheres have several different functional superiorities. The focus of this chapter is on the hemispheric asymmetry associated with the function of face identity processing, a finely tuned and expert behavior for almost all humans that is acquired incidentally from birth and continues to be refined through early adulthood. The first section lays out the well-accepted doctrine that face perception is a product of the right hemisphere, a finding based on longstanding behavioral data from healthy adult human observers.
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March 2025
Department of Psychology, University of California, Los Angeles (UCLA), Los Angeles, CA, United States. Electronic address:
Art was initially thought of as a single function linked mainly to spatial perception and right hemisphere functional specialization. Art was also considered to be diametrically opposed to language, further solidifying the right hemisphere specialization model. This view remained dominant for many decades.
View Article and Find Full Text PDFHandb Clin Neurol
March 2025
Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy. Electronic address:
The chapter explores the difference between the cerebral hemispheres in the three categories of attention described in the fundamental classification of Posner and Petersen: Alerting, Orienting, and Executive Functions. The first section is concerned with the brain localization of visuospatial attention as studied in brain-damaged patients, mainly hemineglect and callosum-sectioned patients. Other important results have been provided more recently by means of brain imaging studies of cortical and subcortical attention networks.
View Article and Find Full Text PDFComput Med Imaging Graph
March 2025
School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, 200230, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China. Electronic address:
Magnetic Resonance Imaging (MRI) has become a pivotal tool in diagnosing brain diseases, with a wide array of computer-aided artificial intelligence methods being proposed to enhance diagnostic accuracy. However, early studies were often limited by small-scale datasets and a narrow range of disease types, which posed challenges in model generalization. This study presents UniBrain, a hierarchical knowledge-enhanced pre-training framework designed for universal brain MRI diagnosis.
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