Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Cheng, Jen-Hao"'
Autor:
Kuan, Sheng-Yao, Cheng, Jen-Hao, Huang, Hsiang-Wei, Chai, Wenhao, Yang, Cheng-Yen, Latapie, Hugo, Liu, Gaowen, Wu, Bing-Fei, Hwang, Jenq-Neng
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surpassing the capabilities of state-of-the-art single-modality detectors
Externí odkaz:
http://arxiv.org/abs/2407.13937
Autor:
Ho, Yuan-Hao, Cheng, Jen-Hao, Kuan, Sheng Yao, Jiang, Zhongyu, Chai, Wenhao, Huang, Hsiang-Wei, Lin, Chih-Lung, Hwang, Jenq-Neng
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applications due to privacy concerns. In contrast, radar-based HPE methods emer
Externí odkaz:
http://arxiv.org/abs/2407.13930
Autor:
Liu, Hou-I, Wu, Christine, Cheng, Jen-Hao, Chai, Wenhao, Wang, Shian-Yun, Liu, Gaowen, Hwang, Jenq-Neng, Shuai, Hong-Han, Cheng, Wen-Huang
Monocular 3D object detection (Mono3D) is an indispensable research topic in autonomous driving, thanks to the cost-effective monocular camera sensors and its wide range of applications. Since the image perspective has depth ambiguity, the challenges
Externí odkaz:
http://arxiv.org/abs/2404.04910
Autor:
Wang, Yizhou, Cheng, Jen-Hao, Huang, Jui-Te, Kuan, Sheng-Yao, Fu, Qiqian, Ni, Chiming, Hao, Shengyu, Wang, Gaoang, Xing, Guanbin, Liu, Hui, Hwang, Jenq-Neng
Sensor fusion is crucial for an accurate and robust perception system on autonomous vehicles. Most existing datasets and perception solutions focus on fusing cameras and LiDAR. However, the collaboration between camera and radar is significantly unde
Externí odkaz:
http://arxiv.org/abs/2311.10261
Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a complementary capability to the vision- or LiDAR-based autonomous driving sy
Externí odkaz:
http://arxiv.org/abs/2311.01423
Publikováno v:
In Future Generation Computer Systems October 2022 135:450-466
Akademický článek
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Autor:
Cheng, Jen-Hao, 鄭人豪
100
Firefighters are potentially exposed to a large number of hazardous gases and particulates (e.g. CO, benzene, polycyclic aromatic hydrocarbons (PAHs) and 1,3-butadiene) which may cause oxidative damage to DNA during fire suppression. We asse
Firefighters are potentially exposed to a large number of hazardous gases and particulates (e.g. CO, benzene, polycyclic aromatic hydrocarbons (PAHs) and 1,3-butadiene) which may cause oxidative damage to DNA during fire suppression. We asse
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/67795138305443151707
Autor:
Cheng, Jen-Hao, 鄭人豪
99
In this thesis, a novel Direction of Arrival (DOA) estimation algorithm for vehicle collision warning radar system has been developed. In order to achieve high gain, Lens antenna fed with two microstrip patch antennas will be used as transmit
In this thesis, a novel Direction of Arrival (DOA) estimation algorithm for vehicle collision warning radar system has been developed. In order to achieve high gain, Lens antenna fed with two microstrip patch antennas will be used as transmit
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/97146154318832828503
Autor:
Cheng, Jen-Hao, 鄭人豪
96
A gyrotron traveling wave amplifier (gyro-TWT) is a high-power, broadband, millimeter-wave amplifier, applied in communication, military radar and satellite. Harmonic Multiplying gyro-TWT drives a fundamental TE11 wave in the input section an
A gyrotron traveling wave amplifier (gyro-TWT) is a high-power, broadband, millimeter-wave amplifier, applied in communication, military radar and satellite. Harmonic Multiplying gyro-TWT drives a fundamental TE11 wave in the input section an
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32725485758674190820