Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios,Kaiwen Liu, Nan Li, H. Eric Tseng, Ilya Kolmanovsky, and Anouck Girard。 老问新看,一鱼两吃。…
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Wilson Li 3 人赞同了该文章 文章地址 本文只是对这篇paper做个笔记。 此文章提出了一个基于博弈论的controller, 叫做Leader-Follower game controller(LFGC), LFGC利用其他车辆的观测轨迹来更新其他车辆的意图,然后通过MP...
Human trajectory prediction is an important topic in several application domains, ranging from self-driving cars to environment design and planning, from socially-aware robots to intelligent tracking systems. This complex subject comes with different challenges, such as human-space interaction, human-...
Merging is, in general, a challenging task for both human drivers and autonomous vehicles, especially in dense traffic, because the merging vehicle typically needs to interact with other vehicles to identify or create a gap and safely merge into. In this paper, we consider the problem of autono...
(Rong, H. et al., 2019) investigated the uncertainty of ship trajectory prediction via a probabilistic prediction model. In which they established a parameters of the probabilistic models according to historic ship trajectory data that is from Automatic Identifcation System (AIS). Chen C., et ...
5. **EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting 通过低秩描述符来实现多模态轨迹预测，为复杂场景下的预测提供支持。6. **GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving 基于博弈理论...
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control, especially for maneuver operations. Modern data-driven methods are typically formulated as a time series forecasting task and fail to retain high accuracy. Me
It is critical to predict the motion of surrounding vehicles for self-driving planning, especially in a socially compliant and flexible way. However, future prediction is challenging due to the interaction and uncertainty in driving behaviors. We propose
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty 上传人:leo_wyoming · 上传时间:2025-05-07 1/60% 0% 0% 0%0%继续阅读 VIP精选文档 11 2009年高考陕西文科数学卷解析 7 机械社区关于步进电机的讨论 9 安信证券-估值与盈利监测周报-091227 6 江苏...
之前介绍过不少trajectory prediction和planning的论文,主要是LSTM、GAN、attention mechanism、GNN、transformer和reinforcement learning等方法,这里再加几篇transformer方法的论文。 arXiv 2003.08111论文“T…