CUDA-Based Computation for Visual Odometry

研究成果: 書貢獻/報告類型會議論文篇章

摘要

An enhanced visual odometry (VO) system is proposed to improve the accuracy of pose estimation based on a corrected model, and the matching algorithm is implemented on graphical processing units (GPUs) so that the computation can be accelerated in parallel and in real-time using the compute unified device architecture (CUDA) programming model. To evaluate the performance of the proposed approach, an ASUS Xtion 3D camera, laptop, and NVIDIA TX2 are employed to conduct extensive experiments. The experimental results show that compared with the traditional VO algorithm, the proposed approach gives better results over the traditional VO algorithm.

原文英語
主出版物標題2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面55-56
頁數2
ISBN(電子)9781538663097
DOIs
出版狀態已發佈 - 2018 十二月 12
事件7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, 日本
持續時間: 2018 十月 92018 十月 12

出版系列

名字2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

其他

其他7th IEEE Global Conference on Consumer Electronics, GCCE 2018
國家日本
城市Nara
期間2018/10/092018/10/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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