Abstract
With the development of the intelligent transportation systems (ITS), and the widely used technologies of road testing, machine vision etc. in the field of intelligent vehicle, it is possible for the smart car to move automatically in well-structured environments. As for urban complex environments, the researches on unmanned intelligent vehicle are still at the initial stage. For the more complex urban environments, perception and control algorithms are made a higher demand. So the urban unmanned intelligent vehicles have become one of the hottest areas for future research and development. This article made a profound study on the key technologies of urban driverless intelligent vehicle including multi-sensor fusion of navigation systems, smart car body control systems, and the path planning decision, and also theoretically explained the possibility of the urban unmanned intelligent vehicle can be put into daily use.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 |
| Pages | 51-54 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2010 |
| Externally published | Yes |
| Event | 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 - Wuhan, China Duration: 16 Dec 2010 → 17 Dec 2010 |
Publication series
| Name | Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 |
|---|---|
| Volume | 3 |
Conference
| Conference | 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 16/12/10 → 17/12/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Information fusion
- Path planning
- Road-following
- Urban unmanned intelligent vehicle
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