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20162022
most citedRobust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games

8 citations · 31 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.SY2018★ 1 cited

Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks

Huajing Zhao, Zhaobin Mo, Macheng Shen +2

In this paper, we proposed the Interpenetrating Cooperative Localization (ICL) method to enhance the localization accuracy in dynamic connected vehicle networks. This mechanism mak…

eess.SY2017

Semi-Interpenetrating Cooperative Localization in Connected Vehicle Networks

Macheng Shen, Huajing Zhao, Jing Sun +1

We proposed a fusion mechanism for the distributed cooperative map matching (CMM) within the vehicular ad-hoc network. This mechanism makes the information from each node reachable…

eess.SY2017★ 2 cited

The Impact of Road Configuration in V2V-based Cooperative Localization: Mathematical Analysis and Real-world Evaluation

Macheng Shen, Jing Sun, Ding Zhao

Cooperative map matching (CMM) uses the Global Navigation Satellite System (GNSS) position information of a group of vehicles to improve the standalone localization accuracy. It ha…

eess.SY2017★ 6 cited

Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments

Macheng Shen, Ding Zhao, Jing Sun +1

A crucial function for automated vehicle technologies is accurate localization. Lane-level accuracy is not readily available from low-cost Global Navigation Satellite System (GNSS)…

eess.SY2017★ 3 cited

The Impact of Road Configuration on V2V-based Cooperative Localization

Macheng Shen, Ding Zhao, Jing Sun

Cooperative localization with map matching has been shown to reduce Global Navigation Satellite System (GNSS) localization error from several meters to sub-meter level by fusing th…

eess.SY2017★ 3 cited

Optimization of Vehicle Connections in V2V-based Cooperative Localization

Macheng Shen, Jing Sun, Ding Zhao

Cooperative map matching (CMM) uses the Global Navigation Satellite System (GNSS) positioning of a group of vehicles to improve the standalone localization accuracy. It has been sh…