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...
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...
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...
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
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 ...
targettrajectorypredictionmethod.Finally,bycomparingtheoptimizedcoveragequalityevaluationindicators,aset ofsimulationresultsisperformedtodemonstratetheeffectivenessoftheproposedalgorithm. Keywords:videosensornetworks;movingtargetcoverage;Klevelcoverage;distributedalgorithm ...
This concept was largely exploited at the beginning of the rendezvous era driven by the American and Russian space programs [15]. The example given by the Russian Kurs system, which was used for the rendezvous of the Soyuz and Progress vehicles toward the Russian space station Mir, first, ...
Inspired by the recent advancement of large language models (LLMs) that can facilitate the integration of the textural information and images, here we present an LLM-driven multimodal artificial intelligence (AI), namely LLMSeg, that utilizes the clinical information and is applicable to the ...
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…
Thirdly, they applied proteomics-based signaling pathway analysis to distinguish disease subtypes and found that, for tumors of the two major pancreatic cancer subtypes, oncogenesis may be primarily driven by perturbation in either SMAD4 or mTOR signaling pathways. Furthermore, they performed gene set...