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.
Optimized sensor placement for dependable roadside infrastructures
2019-10-01
1873234 byte
Conference paper
Electronic Resource
English
Hybrid Roadside Devices Placement for Advertisement Disseminations in Vehicular CPS
Springer Verlag | 2017
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