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
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...
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
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…