Optimized sensor placement for dependable roadside infrastructures
We present a multi-stage optimization method for efficient sensor deployment in traffic surveillance scenarios. Based on a genetic optimization scheme, our algorithm places an optimal number of roadside sensors to obtain full road coverage in the presence of obstacles and dynamic occlusions. The eff...
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| Veröffentlicht in: | arXiv.org 2019-10 |
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| creator | Geissler, Florian Graefe, Ralf |
| description | We present a multi-stage optimization method for efficient sensor deployment in traffic surveillance scenarios. Based on a genetic optimization scheme, our algorithm places an optimal number of roadside sensors to obtain full road coverage in the presence of obstacles and dynamic occlusions. The efficiency of the procedure is demonstrated for selected, realistic road sections. Our analysis helps to leverage the economic feasibility of distributed infrastructure sensor networks with high perception quality. |
| doi_str_mv | 10.48550/arxiv.1910.05314 |
| format | Article |
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| subjects | Algorithms Computer Science - Networking and Internet Architecture Economic analysis Optimization Roadsides Sensors Traffic surveillance |
| title | Optimized sensor placement for dependable roadside infrastructures |
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