Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms
The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature...
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| Published in | Proceedings of IEEE International Symposium on Consumer Electronics pp. 225 - 228 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2158-4001 |
| DOI | 10.1109/ICCE.2017.7889293 |
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| Abstract | The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection. The enables tracking and mapping of a wide range of scene structures which can be readily resolved into individual objects and scene elements. Thus it is practical to identify moving objects such as vehicles, pedestrians and fixed objects and structures such as buildings, trees and roadside kerb. |
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| AbstractList | The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection. The enables tracking and mapping of a wide range of scene structures which can be readily resolved into individual objects and scene elements. Thus it is practical to identify moving objects such as vehicles, pedestrians and fixed objects and structures such as buildings, trees and roadside kerb. |
| Author | Javidnia, Hossein Corcoran, Peter |
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| Snippet | The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for... |
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| SubjectTerms | Benchmark testing Cameras Conferences Feature extraction Real-time systems Roads Three-dimensional displays |
| Title | Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms |
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