文献
J-GLOBAL ID:202202291423237104
整理番号:22A0958785
グローバルポーズグラフ最適化を用いたインテリジェント車両のためのマルチセンサフュージョン位置決め戦略【JST・京大機械翻訳】
A Multi-Sensor Fusion Positioning Strategy for Intelligent Vehicles Using Global Pose Graph Optimization
著者 (7件):
Tao Xiaowen
(State Key Laboratory of Automotive Simulation and Control and College of Automotive Engineering, Jilin University, Changchun, China)
,
Zhu Bing
(State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China)
,
Xuan Shengyi
(State Key Laboratory of Automotive Simulation and Control and College of Automotive Engineering, Jilin University, Changchun, China)
,
Zhao Jian
(State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China)
,
Jiang Hongyi
(State Key Laboratory of Automotive Simulation and Control and College of Automotive Engineering, Jilin University, Changchun, China)
,
Du Jinpeng
(State Key Laboratory of Automotive Simulation and Control and College of Automotive Engineering, Jilin University, Changchun, China)
,
Deng Weiwen
(Department of Transportation Science and Engineering, Beihang University, Beijing, China)
資料名:
IEEE Transactions on Vehicular Technology
(IEEE Transactions on Vehicular Technology)
巻:
71
号:
3
ページ:
2614-2627
発行年:
2022年
JST資料番号:
C0244A
ISSN:
0018-9545
CODEN:
ITVTAB
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)