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11. BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

Author

Xue, Jianru, Fang, Jianwu, Li, Tao, Zhang, Bohua, Zhang, Pu, Ye, Zhen, and Dou, Jian

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics
Abstract

In autonomous driving community, numerous benchmarks have been established to assist the tasks of 3D/2D object detection, stereo vision, semantic/instance segmentation. However, the more meaningful dynamic evolution of the surrounding objects of ego-vehicle is rarely exploited, and lacks a large-scale dataset platform. To address this, we introduce BLVD, a large-scale 5D semantics benchmark which does not concentrate on the static detection or semantic/instance segmentation tasks tackled adequately before. Instead, BLVD aims to provide a platform for the tasks of dynamic 4D (3D+temporal) tracking, 5D (4D+interactive) interactive event recognition and intention prediction. This benchmark will boost the deeper understanding of traffic scenes than ever before. We totally yield 249,129 3D annotations, 4,902 independent individuals for tracking with the length of overall 214,922 points, 6,004 valid fragments for 5D interactive event recognition, and 4,900 individuals for 5D intention prediction. These tasks are contained in four kinds of scenarios depending on the object density (low and high) and light conditions (daytime and nighttime). The benchmark can be downloaded from our project site https://github.com/VCCIV/BLVD/., Comment: To appear in ICRA2019

Published
2019

34. Enhanced narrow green emission via efficient energy transfer from Eu2+ to Mn2+ in KAl4Ga7O17 for backlit LCD displays.

Author

Zhang, Bohua, Lu, Zhentong, Zhang, Haoran, Li, Wei, Zhuang, Jianle, Hu, Chaofan, Liu, Yingliang, Lei, Bingfu, and Zhang, Xuejie

Abstract

Wide color gamut displays are considered a new generation of display technology owing to their excellent color saturation and color rendition. However, a significant challenge in their development is obtaining narrow-band green-emitting phosphors with high quantum efficiency and low thermal quenching. Herein, we address this challenge by constructing efficient Eu2+ → Mn2+ energy transfer in the KAl4Ga7O17 matrix. This approach allows us to obtain a high quantum efficiency narrow-band green-emitting phosphor that can be excited by a UV LED chip. By achieving a 95.6% energy transfer efficiency of Eu2+ → Mn2+, the KAl4Ga7O17 : 0.1Eu2+,0.12Mn2+ (KAGO:0.1Eu2+,0.12Mn2+) phosphor exhibits nearly single-band emission peak at 509 nm with a full-width at half maximum (FWHM) of only 25 nm. Moreover, the internal quantum efficiency reaches 99% under 330 nm excitation. Compared with the undoped Ga sample, this phosphor demonstrates a 2.2 times increase in luminescence intensity. This improvement can be attributed to the introduction of Ga3+, enhancing the absorption of phosphors. Finally, as an application demonstration, we used KAl4Ga7O17:0.1Eu2+,0.12Mn2+ green phosphor, BaMgAl10O17:Eu2+ blue phosphor, and K2SiF6:Mn4+ red phosphor in combination with a 365 nm UV LED chip to encapsulate a white LED device, which gave a color gamut area of 122% NTSC and 91% Rec.2020 with a luminous efficacy of 27.09 lm W−1. Further, we fabricated a light bar and assembled it into an LCD screen. The fabricated LCD screen exhibited superior color rendition compared to ordinary commercial screens. [ABSTRACT FROM AUTHOR]

Published
2024
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43. A critical review on methods for time-dependent structural reliability.

Author

Zhang, Bohua, Wang, Weigang, Wang, Yanlin, Li, Yueru, and Li, Chun-Qing

Subjects
STRUCTURAL reliability, STOCHASTIC processes, HYBRID computer simulation, ANALYTICAL solutions, RESEARCH personnel
Abstract

With increasing recognition of randomness and time-variance of variables in structural assessment, time-dependent reliability (TdR) methods have gained popularity among researchers and practitioners. This paper critically reviews commonly used TdR methods, with focuses on analytical solutions, hybrid solutions and simulation solutions. Through this review and analysis, research challenges for TdR methods are identified and future research directions are proposed. It is found that Rice formula-based solutions are accurate but have limited solutions, hybrid solutions are efficient but affected by non-Gaussianity and nonlinearity of limit state functions, and simulation solutions are robust but time-consuming for complex structure systems. It is also found that the effectiveness of TdR methods depends highly on the complexity of limit state functions and types of stochastic processes involved, in particular, the stationarity, Gaussianity and correlation. The contribution of this review is that different TdR methods are elucidated and future research directions are proposed. [ABSTRACT FROM AUTHOR]

Published
2024
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