中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [1]
沈阳自动化研究所 [1]
合肥物质科学研究院 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [3]
会议论文 [1]
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2022 [1]
2012 [1]
2010 [1]
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MSL3D: 3D object detection from monocular, stereo and point cloud for autonomous driving
期刊论文
OAI收割
Neurocomputing, 2022, 卷号: 494, 页码: 23-32
作者:
Chen WY(陈文玉)
;
Li PX(李培玄)
;
Zhao HC(赵怀慈)
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/05/29
3D object detection
Automatic driving
Multi-sensor fusion
Research and Development of Automatic Driving System for Intelligent Vehicles
期刊论文
OAI收割
Advances in Intelligent Systems and Computing, 2012
作者:
Weizhong Zhang
;
Tao Mei
;
Huawei Liang
;
Bichun Li
;
Jian Huang
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2020/10/22
Intelligent vehicle
Versatility
Automatic driving
Steering control
Auto-detection system of photoelectric encoder based on DSP (EI CONFERENCE)
会议论文
OAI收割
2010 2nd International Conference on Industrial and Information Systems, IIS 2010, July 10, 2010 - July 11, 2010, Dalian, China
作者:
Wan Q.-H.
;
Qi L.-L.
;
Liang L.-H.
;
Lu X.-R.
;
Du Y.-C.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
To improve the automatic detection efficiency of photoelectric encoder
an auto-detection system of photoelectric encoder is designed using DSP (TMS320F2812) as the core device. A 21-bit high accuracy photoelectric encoder is used as the angle standard. It is connected to the detected photoelectric encoder coaxially. They will rotate synchronously under the driving of electric motor. Data acquisition and processing system collects the angular data of the two photoelectric encoders at the same angular position and calculates the angular error of detected photoelectric encoder. Then the data is put into computer. The computer will display the data error. The result of experiment shows that the system could detect encoder whose bit-number below 19
the detecting person could be reduced to one and the detecting speed could be increased to 8-10 times. 2010 IEEE.
Detecting the Background-Similar Objects in Complex Transportation Scenes
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
作者:
Sun, Bangyong
;
Ma, Ming
;
Yuan, Nianzeng
;
Li, Junhuai
;
Yu, Tao
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/05/29
Feature extraction
Task analysis
Semantics
Roads
Object detection
Meteorology
Transportation
Pedestrian detection
automatic driving
guide-learning