Junlong Liu

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• Junlong Liu

  车辆运动预测问题的难点： 2， 司机的操作和风险评估不满足理性人假设。有可能有误操作和误判断； 车辆运动预测模型 车辆运动决策主要包含两个要素：意向与风险评估。从长到短的时间跨度，意向可以是目的地；正前方&左转&右转等；变道&加速&减速等。舒适和安全也是意向的潜在因子。风险评估包含碰撞、违规等风险。一般地，车辆先有意向，然后评估意向相关的路线规划风险，进而采取操作，影响车辆运动，如图 1所示...

• Personal Info | Junlong Liu

  Junlong LiuMale, 1992.3Interests: Machine Learning/NLPEmail: junlong@mail.ustc.edu.cnGithub: https://github.com/omgteam EducationUniversity of Scienc

• Key Idea of Deep Learning | Junlong Liu

  The key idea of deep learning is to design appropriate neural network to guide information flow and information transformation.

• Slide about Human-level Concept Learning (Bayesian Program Learning) | Junlong Liu

  Here is a detailed presentation about Science Paper Human-level concept learning through probabilistic program induction [1]. [1]Lake, Brenden M., Rus

• Hello World | Junlong Liu

  Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub.

• 无人车介绍--斯坦福的stanley | Junlong Liu

  斯坦福的无人车Stanley是DARPA(the Defense Advanced Research Projects Agency) 2005挑战赛的冠军， 本文是Stanley论文[1]的归纳和简要分析, 包括系统的设计原则、模块组成，以及可预期的改进。