The paper addresses the problem of distributed resolvable-group target tracking (RTT) over a peer-to-peer sensor network with different coordinates. In the local filtering stage, each sensor node employs the labeled m...
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Accurate and soft touchdown at a predetermined location necessitates the utilization of precise ground-based navigation sensors tailored for such destinations. Instruments like altimeters, velocimeters, and inertial n...
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This paper presents a phase shifter in a 28-nm FD-SOI CMOS technology, which is suitable for automotive radarsensor applications in the 75-81 GHz band. The circuit exploits a switching vector modulator solution, whic...
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ISBN:
(纸本)9798350303209
This paper presents a phase shifter in a 28-nm FD-SOI CMOS technology, which is suitable for automotive radarsensor applications in the 75-81 GHz band. The circuit exploits a switching vector modulator solution, which allows high phase accuracy to be achieved. Indeed, RMS phase and gain errors are as low as 2.2 degrees and 0.14 dB, respectively. This performance is provided with a 1-V supply voltage and a low power consumption of 9 mW.
Studies have shown that there is a 10% fatality rate when a pedestrian is struck by a vehicle moving at the speed of 20 (mph), and the rate scales up to 90% at the speed of 40 (mph). Moreover, the residential areas wi...
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This paper deals with a novel RFID-based sensor reinforcing touch gesture recognition initiated. The developed sensor takes dominance over an RFID chipless variant that enables the fabrication of an inactive, fully-pr...
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With the rapid development of the transportation industry, the number of truck transportation under railway Bridges and culverts has increased sharply, and some illegal ultra-high vehicles have also increased signific...
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Object detection is a necessary part of the intelligent driving system, especially in some severe weather conditions like haze. However, in haze weather, images acquired by the camera are degraded, which severely impa...
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ISBN:
(纸本)9798350399462
Object detection is a necessary part of the intelligent driving system, especially in some severe weather conditions like haze. However, in haze weather, images acquired by the camera are degraded, which severely impacts the subsequent detection process. The radar performance is almost unaffected by haze. Based on the above background, we focus on the multi-sensor fusion dehazing algorithm applied to vehicle detection in hazy road environments, using radar data to provide information supplements for dehazing. First, we propose a radar-camera fusion dehazing algorithm based on the atmospheric scattering model. The radar detection information is used to provide direct and accurate transmission estimation and haze removal region of interest for the dehazing algorithm, so as to achieve precise dehazing effects focusing on dynamic vehicle targets on the road. Second, we apply YOLOv5 to haze-removal images. The proposed fusion dehazing algorithm is tested on the synthetic haze road environment and the real-world dataset, respectively. The average precision of the object detection task is used as the evaluation metric. Finally, experimental results demonstrate that the proposed algorithm performs favorably against the state-of-the-art dehazing algorithms.
Advanced Driver Assistance Systems (ADAS) rely extensively on sensors to perceive and interpret their environment, enabling safe and efficient navigation, object detection or other functionalities. However, sensor blo...
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This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for al...
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ISBN:
(纸本)9798350311143
This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190% are demonstrated.
In order to explore the reasons for the insufficient positioning accuracy of the crane, to ensure the personal safety of the staff, and to improve the reliability of production operations and work efficiency. Focus on...
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