MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

1 code implementation • 2 Dec 2021 • Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu

Large-scale Bundle Adjustment (BA) requires massive memory and computation resources which are difficult to be fulfilled by existing BA libraries.

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

no code implementations • 22 Jul 2019 • Lei Lei, Yue Tan, Kan Zheng, Shiwen Liu, Kuan Zhang, Xuemin, Shen

Next, a comprehensive survey of the state-of-art research on DRL for AIoT is presented, where the existing works are classified and summarized under the umbrella of the proposed general DRL model.

Decision Making reinforcement-learning +1

A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving

no code implementations • 25 Feb 2019 • Shiwen Liu, Kan Zheng, Long Zhao, Pingzhi Fan

Experimental results show that the HMMs trained with the continuous characterization of mobility features can give a higher prediction accuracy when they are used for predicting driving intentions.

Autonomous Driving