no code implementations • 28 Aug 2024 • Jianjun Ma, Yuheng Song, Mingxia Zhang, Guohao Liu, Weiming Li, John F. Federici, Daniel M. Mittleman
With the growing demand for higher wireless data rates, the interest in extending the carrier frequency of wireless links to the terahertz (THz) range has significantly increased.
no code implementations • 20 Jun 2024 • Jiabiao Zhao, Da Li, Jiayuan Cui, Houjun Sun, Jianjun Ma
The calibration of weather radar for detecting meteorological phenomena has advanced rapidly, aiming to enhance accuracy.
no code implementations • 3 Apr 2024 • Da Li, Peian Li, Jiabiao Zhao, Jianjian Liang, Jiacheng Liu, Guohao Liu, Yuanshuai Lei, Wenbo Liu, Jianqin Deng, Fuyong Liu, Jianjun Ma
Employing experimental measurements through an unmodulated channel setup and a geometry-based stochastic model (GBSM) that integrates three-dimensional positional coordinates and beamwidth, this work evaluates the impact of UAV dynamic movements and antenna orientation on channel performance.
no code implementations • 2 Sep 2020 • Yu Mei, Jianping An, Jianjun Ma, Lothar Moeller, John F. Federici
Wireless networks operating at terahertz (THz) frequencies have been proposed as a promising candidate to support the ever-increasing capacity demand, which cannot be satisfied with existing radio-frequency (RF) technology.
no code implementations • 10 Mar 2018 • Liangfu Chen, Zeng Yang, Jianjun Ma, Zheng Luo
As the demand for enabling high-level autonomous driving has increased in recent years and visual perception is one of the critical features to enable fully autonomous driving, in this paper, we introduce an efficient approach for simultaneous object detection, depth estimation and pixel-level semantic segmentation using a shared convolutional architecture.