@inproceedings{28dd4170cb844079971411dc3d6a6fcf,
title = "A cGANs-based scene reconstruction model using lidar point cloud",
abstract = "Road scene reconstruction is a fundamental and crucial module at the perception phase for autonomous vehicles, and will influence the later phase, such as object detection, motion planing and path planing. Traditionally, self-driving car uses Lidar, camera or fusion of the two kinds of sensors for sensing the environment. However, single Lidar or camera-based approaches will miss crucial information, and the fusion-based approaches often consume huge computing resources. We firstly propose a conditional Generative Adversarial Networks (cGANs)-based deep learning model that can rebuild rich semantic scene images from upsampled Lidar point clouds only. This makes it possible to remove cameras to reduce resource consumption and improve the processing rate. Simulation on the KITTI dataset also demonstrates that our model can reestablish color imagery from a single Lidar point cloud, and is effective enough for real time sensing on autonomous driving vehicles.",
keywords = "Autonomous vehicle, CGANs, Lidar point cloud, Scene reconstruction, Upsampling",
author = "Zhenchao Ouyang and Yu Liu and Changjie Zhang and Jianwei Niu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",
year = "2018",
month = may,
day = "25",
doi = "10.1109/ISPA/IUCC.2017.00167",
language = "英语",
series = "Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1107--1114",
editor = "Gregorio Martinez and Richard Hill and Geoffrey Fox and Peter Mueller and Guojun Wang",
booktitle = "Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017",
address = "美国",
}