no code implementations • 6 Aug 2023 • Shiyu Song, Yanqun Tang, Xizhang Wei, Yu Zhou, Xianjie Lu, Zhengpeng Wang, Songhu Ge
In each layer, our proposed m-MTLS estimator first employs an M-estimate total least mean squares (MTLS) algorithm to eliminate residual SI from the received signal and give a new estimation of the RT channel.
no code implementations • 28 Feb 2023 • Yu Zhou, Haoran Yin, Jiaojiao Xiong, Shiyu Song, Jiajun Zhu, Jinming Du, Haibo Chen, Yanqun Tang
In the high-mobility scenarios of next-generation wireless communication systems (beyond 5G/6G), the performance of orthogonal frequency division multiplexing (OFDM) deteriorates drastically due to the loss of orthogonality between the subcarriers caused by large Doppler frequency shifts.
no code implementations • 14 Jul 2021 • Lei He, Shengjie Jiang, Xiaoqing Liang, Ning Wang, Shiyu Song
Compared to traditional methods based on object detectors, the essential design in our work is a parallel feature difference calculation structure that infers map changes by comparing features extracted from the camera and rasterized images.
no code implementations • 2 Mar 2021 • Jinyun Zhou, Rui Wang, Xu Liu, Yifei Jiang, Shu Jiang, Jiaming Tao, Jinghao Miao, Shiyu Song
Detailed ablation and visualization analysis are included to further demonstrate each of our proposed modules' effectiveness in our method.
Autonomous Driving Data Augmentation +1 Robotics
no code implementations • 19 Jan 2021 • Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie zhou
In this paper, we first introduce the concept of semantic objectness to exploit the geometric relationship of these two tasks through an analysis of the imaging process, then propose a Semantic Object Segmentation and Depth Estimation Network (SOSD-Net) based on the objectness assumption.
Ranked #81 on Semantic Segmentation on NYU Depth v2
no code implementations • ECCV 2020 • Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song
We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy.
no code implementations • 10 May 2019 • Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song
We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric methods.
no code implementations • 15 Nov 2017 • Guowei Wan, Xiaolong Yang, Renlan Cai, Hao Li, Hao Wang, Shiyu Song
We present a robust and precise localization system that achieves centimeter-level localization accuracy in disparate city scenes.
no code implementations • CVPR 2015 • Shiyu Song, Manmohan Chandraker
Experiments on the KITTI dataset show the efficacy of our cues, as well as the accuracy and robustness of our 3D object localization relative to ground truth and prior works.
no code implementations • CVPR 2014 • Shiyu Song, Manmohan Chandraker
Experiments on the KITTI dataset demonstrate the accuracy of our ground plane estimation, monocular SFM and object localization relative to ground truth, with detailed comparisons to prior art.