Search Results for author: Yanyong Zhang

Found 6 papers, 3 papers with code

Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model

no code implementations13 Aug 2021 Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji

Specifically, we formulate the navigation task as a Semi-Markov Decision Process (SMDP) problem to handle adaptive execution duration.

Robot Navigation

From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

1 code implementation30 Jul 2021 Jiajun Deng, Wengang Zhou, Yanyong Zhang, Houqiang Li

To this end, in this work, we regard point clouds as hollow-3D data and propose a new architecture, namely Hallucinated Hollow-3D R-CNN ($\text{H}^2$3D R-CNN), to address the problem of 3D object detection.

3D Object Detection Scene Understanding

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

1 code implementation6 Jul 2021 Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, Yu Zhang

As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual scene understanding.

Autonomous Driving Monocular 3D Object Detection +2

Multi-Modal 3D Object Detection in Autonomous Driving: a Survey

no code implementations24 Jun 2021 Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Yu Zhang, Jianmin Ji, Yanyong Zhang

In this survey, we first introduce the background of popular sensors for autonomous cars, including their common data representations as well as object detection networks developed for each type of sensor data.

3D Object Detection Autonomous Driving +2

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

4 code implementations31 Dec 2020 Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li

In this paper, we take a slightly different viewpoint -- we find that precise positioning of raw points is not essential for high performance 3D object detection and that the coarse voxel granularity can also offer sufficient detection accuracy.

3D Object Detection Region Proposal

Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning

no code implementations19 Dec 2017 Liang Xiao, Guoan Han, Donghua Jiang, Hongzi Zhu, Yanyong Zhang, H. Vincent Poor

It is shown that, by applying reinforcement learning techniques, a mobile device can achieve an optimal communication policy without the need to know the jamming and interference model and the radio channel model in a dynamic game framework.

Cannot find the paper you are looking for? You can Submit a new open access paper.