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- W2157804540 abstract "Environmental perception is one of the most difficult problems for off-road autonomous vehicles. Due to the variety and complexity of off-road environments, the information from any single sensor is not enough for safe and efficient vehicle navigation. Employing more sensors can greatly improve the vehicle's perceptive capability. This paper describes a multi-sensor data fusion system for off-road autonomous vehicles. The system acquires data from one camera, four laser range finders, one radar, and several ultrasonic sensors. A hierarchical structure is used to organize the sensors from feature level to high fusion level. Dempster-Shafer evidence theory is adopted to decide the classification of each grid in the fusion map. A weighted evidence combination rule is proposed and implemented to improve the decision results under high conflicting circumstance. The experimental results showed the validity of our method." @default.
- W2157804540 created "2016-06-24" @default.
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- W2157804540 date "2006-08-15" @default.
- W2157804540 modified "2023-09-24" @default.
- W2157804540 title "Environmental perception: an application of multi-sensor data fusion to autonomous off-road navigation" @default.
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- W2157804540 doi "https://doi.org/10.1109/icma.2005.1626773" @default.
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