Fully autonomous driving, even under bad weather conditions, can be enabled by the use of multiple sensor systems including 5D radar imaging. In order to get three dimensional, high resolution images with Doppler and time tracking of the target, the radar needs to utilize a large number of transmit/receive modules. For proper beam forming, all of them demand synchronization. Here a new concept for the optical distribution of radar signals, comprising low complexity integrated transmitter and receiver chips and a complex central station, will be introduced. Unavoidable temperature drifts due to environmental influences were compensated to maintain a continuous electrical output power. Within a proof-of-concept radar experiment an angular resolution of 1.1° has been achieved.
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http://dx.doi.org/10.1364/OE.27.001199 | DOI Listing |
Elife
December 2024
Center of Translational Medicine, Zibo Central Hospital Affiliated to Binzhou Medical University, Zibo, China.
TIPE () has been identified as an oncogene and participates in tumor biology. However, how its role in the metabolism of tumor cells during melanoma development remains unclear. Here, we demonstrated that TIPE promoted glycolysis by interacting with pyruvate kinase M2 (PKM2) in melanoma.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga 13635-900, Brazil.
Background: Advancements in metabolomic technologies have revolutionized our understanding of feed efficiency (FE) in livestock, offering new pathways to enhance both profitability and sustainability in ruminant production.
Methods: This review offers a critical and systematic evaluation of the metabolomics methods used to measure and assess FE in ruminants. We conducted a comprehensive search of PubMed, Web of Science, and Scopus databases, covering publications from 1971 to 2023.
J Imaging
December 2024
School of Innovation, Design and Technology (IDT), Mälardalen University, 72123 Västerås, Sweden.
As the demand for autonomous driving (AD) systems has increased, the enhancement of their safety has become critically important. A fundamental capability of AD systems is object detection and trajectory forecasting of vehicles and pedestrians around the ego-vehicle, which is essential for preventing potential collisions. This study introduces the Deep learning-based Acceleration-aware Trajectory forecasting (DAT) model, a deep learning-based approach for object detection and trajectory forecasting, utilizing raw sensor measurements.
View Article and Find Full Text PDFJ Imaging
November 2024
Cerema, Research Team "Intelligent Transport Systems", 8-10 Rue Bernard Palissy, CEDEX 2, F-63017 Clermont-Ferrand, France.
Accurate luminance-based image generation is critical in physically based simulations, as even minor inaccuracies in radiative transfer calculations can introduce noise or artifacts, adversely affecting image quality. The radiative transfer simulator, SWEET, uses a backward Monte Carlo approach, and its performance is analyzed alongside other simulators to assess how Monte Carlo-induced biases vary with parameters like optical thickness and medium anisotropy. This work details the advancements made to SWEET since the previous publication, with a specific focus on a more comprehensive comparison with other simulators such as Mitsuba.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
College of Forestry and Prataculture, Ningxia University, Yinchuan 750021, China.
To understand the distribution pattern and influencing factors of plant community and diversity along the altitude gradient, we examined plant community types, plant diversity and phylogenetic diversity of mountain steppe in Luoshan, Ningxia, and analyzed the relationship between the plant community and its diversity and environmental driving factors. The results showed that the main community types in the mountain steppe were community, community, community, community, + community, community, ++ community, + community, + community, community, community and community. The distribution of mountain steppe community was mainly affected by altitude, soil alkali-hydrolyzed nitrogen, water content, available potassium, silt and organic matter contents, with altitude and soil water content having the greatest effects (<0.
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