This paper proposes a decision-level fusion approach to effectively integrate multi-source heterogeneous sensordata to meet the challenge of all-weather traffic perception. First, considering the effects of illuminat...
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This paper presents a contactless vital-signal sensor based on the six-port concept. A prototype including the digital signal processing (DSP) is designed and implemented. The RF hardware consists of an in-house produ...
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Mapping, monitoring and parameter inversion in the mountain areas covered with dense vegetation as well as cloud and mist is always a complicated subject. Synthetic aperture radar (SAR) is an effective sensor of great...
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We focus on the sensor fusion for vehicle-side and roadside 3D object detection and tracking. Although quite a few sensor fusion algorithms have been proposed, some of which are top-ranked on various leaderboards, a s...
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ISBN:
(纸本)9798350362015
We focus on the sensor fusion for vehicle-side and roadside 3D object detection and tracking. Although quite a few sensor fusion algorithms have been proposed, some of which are top-ranked on various leaderboards, a systematic study on how to integrate three crucial sensors (LiDAR, camera and millimeter-wave radarsensors) to develop effective multi-modal 3D object detection and tracking for vehicle-side perception is still missing. Therefore, we first study the three sensors' strengths and weaknesses carefully, then compare several different fusion strategies to maximize their utility. Finally, based on the lessons learnt, we propose a simple yet effective multi-modal 3D object detection and tracking framework (namely EZFusion). Without fancy network modules, our proposed EZFusion makes remarkable improvements over the LiDAR-only baseline, and achieves comparable performance. For intelligent transportation, far-range perception with roadside sensors is vital. The main challenge of far-range perception is performing accurate object detection and tracking under far distances (e.g., > 150m) at a low cost. To cope with such challenges, deploying both millimeter wave radars and high-definition cameras, and fusing their data has become a common practice. Towards this goal, the first question is to conduct the association on the 2D image plane or the BEV plane. We argue that the former is more suitable because the magnitude of location errors in the perspective projection points is smaller at far distances on the 2D plane, leading to more accurate association. Thus, we first project the radar points to the 2D plane and then associate them with the camera-based 2D object locations. Subsequently, we map the camera-based object locations to the BEV plane through inverse projection mapping (IPM) with the corresponding depth information from the radardata. Finally, we engage a BEV tracking module to generate target trajectories. Our system is capable of achieving an average l
Inverse synthetic aperture radar (ISAR) is an advanced imaging sensor that can image moving air targets. Unlike mono-target imaging, due to the different motion parameters of multi-target, traditional ISAR imaging met...
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Dielectric measurements of plastic explosives using a loaded waveguide technique via vector network analyzer and banded MMW extender modules operating at V-band (50 - 75 GHz) are performed. A portion of explosive samp...
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ISBN:
(纸本)9781510661844;9781510661851
Dielectric measurements of plastic explosives using a loaded waveguide technique via vector network analyzer and banded MMW extender modules operating at V-band (50 - 75 GHz) are performed. A portion of explosive sample is inserted into a waveguide shim 2 mm in length and trimmed flush with the faces of the shim. Two-port S-parameter measurements were conducted on the explosive;the empty shim is similarly characterized. Using standard waveguide equations and the measured length of the shim, the complex S-parameter data obtained with the filled shim is optimized to four free parameters - complex permittivity and distance offsets for the two sample faces relative to the calibration planes. Permittivity data obtained from measurements of the plastic explosives C-4, Primasheet 1000, Primasheet 2000 and Semtex 10 are presented. Results obtained for C-4 are comparable to other data in open literature. Excellent agreement between the experiment and the fit is obtained using a constant permittivity across the waveguide band, indicating that dispersion is not significant for these materials.
The paper describes a sensor fusion architecture and develops a detection/localization algorithm that fuses the sensordata obtained from several environmental sources, namely a network of 122 GHz frequency modulated ...
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With the rapid development of intelligent automobile technology, improving the safety and driving experience of driving at night has become an important research direction. The purpose of this study is to adjust the b...
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Targeting systems are subject to multiple sources of error when operating in complex environments. To reduce the effect of these errors, modern targeting systems generally include both imaging and RF sensors. data pro...
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ISBN:
(数字)9781510667044
ISBN:
(纸本)9781510667037
Targeting systems are subject to multiple sources of error when operating in complex environments. To reduce the effect of these errors, modern targeting systems generally include both imaging and RF sensors. data processing then provides target detection and classification information, and the detection streams are combined using a data fusion scheme to produce an optimal target location estimate with an associated latency. In this paper, the performance of a multi- sensor system in a maritime application is investigated using a mathematical simulator that has been developed to provide the system performance error analysis for different engagement scenarios and test conditions. This simulator is described together with the sources of targeting error such as image motion blur and radar glint. Additionally, the impact of flare and chaff countermeasures on the targeting performance is reviewed in terms of different types of target recognition and tracking algorithms.
This paper introduces a novel mobile air quality monitoring device engineered through the integration of cutting-edge sensor technologies. Powered by a low-power ARM Cortex M4 microcontroller, the device is equipped w...
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