Augmented Road Line Detection And Display System
2022
- 107Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage107
- Downloads87
- Abstract Views20
Article Description
An augmented road line display system that includes one or more sensors installed on a vehicle, one or more external databases, and processing circuitry. The processing circuitry is configured to receive inputs from the one or more databases, sensors of the vehicle, and a sub-system of the vehicle, build and validate a road line model to detect or predict a road line based on the inputs received, determine environmental conditions based on the inputs from one or more of the databases, and a sub-system of the vehicle, assign weights to the inputs received based on the environmental conditions to generate weighted inputs, and execute the road line model to determine the road line based on the weighted inputs.
Bibliographic Details
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