Search Results for author: Mingkai Tang

Found 3 papers, 2 papers with code

An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information

no code implementations11 Jan 2023 Mingkai Tang, Boyi Liu, Yuanhang Li, Hongji Liu, Ming Liu, Lujia Wang

The low-level solver, the Sustainable Reverse Safe Interval Path Planning algorithm (SRSIPP), is an efficient single-agent solver that uses previous planning context to reduce duplicate calculations.

Computational Efficiency Multi-Agent Path Finding

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving

1 code implementation1 Jul 2022 Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang

Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors with different modalities are deployed in end-to-end driving to obtain the global context of the 3D scene.

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