arXiv上今年8月文章“TNT: Target-driveN Trajectory Prediction“,是关于谷歌WAYMO的轨迹预测方法。被会议CoRL(Conference on Robot Learning)‘2020录取。 TNT是一种基于历史数据(即多代理和环境之间交互)生成目标的轨迹状态序列方法,并基于似然估计得到紧凑的轨迹预测集。不同于以前方法,即基于定义的潜变量并依赖于测...
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets 一、摘要由于人类行为的随机性,预测道路智能体的未来轨迹对自动驾驶具有挑战性。近年来,基于目标的多轨迹预测方法被证明是有效的,该方法首先对超过采样的目标候选对象进行评分,然后从中… 小齐发表于机器学习文... 【轨迹预测系列】【笔记】DenseTNT...
A Python and Pytorch implementation ofTNT: Target-driveN Trajectory PredictionandVectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. ATTENTION: Currently, the training consumes a large memory (128G+) since an in-memory data loader is implemented. We'll provide a new dataloa...
trajectory pre-rendering algorithm to derive accurate target motion trajectories and motion velocities.The experimental results show that the method overcomes the geometric constraints of the four sensing platforms,reduces the cost,and improves the accuracy of the prediction trajectory from 1.5 to 1 m....
本文在目标轨迹预测中采用了数据挖掘的方法,提出了一个具体的基于移动模式匹配的目标轨迹预测算法。该方法通过不断挖掘历史移动轨迹来构造前缀共享树的方法挖掘出频繁移动模式,之后通过模式匹配预测出目标的移动轨迹。仿真结果表明该算法的时间消耗和空间消耗较小,同时具
targettrajectorypredictionmethod.Finally,bycomparingtheoptimizedcoveragequalityevaluationindicators,aset ofsimulationresultsisperformedtodemonstratetheeffectivenessoftheproposedalgorithm. Keywords:videosensornetworks;movingtargetcoverage;Klevelcoverage;distributedalgorithm ...
significance as expected, and are generally not different between the covariance or correlation based methods. Despite this, covariance appears to be inclined towards finding genes that are really regulated rather than noise genes that happen to have the same expression trajectory. Presumably, the benef...
TNT: Target-driveN Trajectory Prediction大白:Prediction-Planning-E2E (一)方法分类首先基于上一篇综述对方法的分类, 则TNT所用的方法大致如下: Representation: 使用Sparse的方式. Interaction: 交互的建模…
Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. However, in high-density traffic flow, when a vehicle changes lanes, a series of vehicles following the target ...
Paper tables with annotated results for Target-driven Self-Distillation for Partial Observed Trajectories Forecasting