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Found 4 papers, 2 papers with code
Vehicular Visible Light Positioning for Collision Avoidance and Platooning: A Survey
Recently, positioning based on visible light communication signals from vehicle head/tail LED lights (VLP) has shown significant promise as a complementary method attaining cm-level accuracy and near-kHz rate in realistic driving scenarios.
Statistical Analysis of Geometric Algorithms in Vehicular Visible Light Positioning
Vehicular visible light positioning (VLP) methods find relative locations of vehicles by estimating the positions of intensity-modulated head/tail lights of one vehicle (target) with respect to another (ego).
Federated Learning in Vehicular Networks
Machine learning (ML) has recently been adopted in vehicular networks for applications such as autonomous driving, road safety prediction and vehicular object detection, due to its model-free characteristic, allowing adaptive fast response.
Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids.
