【论文阅读】Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Here-Kin 香港科技大学 机器人与自主系统硕士25 人赞同了该文章 目录 收起 参考与前言 1. Motivation Contribution 2. Method 2.1 框架 2.2 Trajectory Branch 2.3 Multi-Step Control Branch ...
这些矢量的大小表示所需的速度,并被发送到纵向控制器以产生throttle和brake控制动作,方向被发送到横向控制器以获得steer动作。 3.2.2 Multi-step control prediction branch 如第3.1节所述,对于仅基于当前输入预测当前控制动作的控制模型,受监督的训练只是行为克隆,其依赖于独立同分布(IID)假设。由于测试用例中的分布变...
2022-04-16 回复喜欢 推荐阅读 (10)Non-Autonomous System的稳定性定义 枕月 【论文阅读】Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Here-...发表于论文阅读 (2)Autonomous System的稳定性定义 枕月 (11)Non-Autonomous System的稳定性判别 枕月打开...
control engineering computingLSTM modelpedestrian trajectoryhuman trajectory predictionautomatic guided vehicleThe accurate prediction of the pedestrian trajectory is necessary to endow automatic guided vehicle with the capabilities to adjust velocity and path dynamically for the navigation in real pedestrian ...
Aiming at the problem for pulse-control trajectory correction projectiles,a terminal control method based on rapid trajectory prediction was discussed.According to some assumptions,the analytical solution of the 3D point mass trajectory equations results in a set of analytical model with good accuracy.Ba...
This study focused on multi‐agent prediction using an agent‐centric approach with transformers. This enables parallel computation and a comprehensive understanding of the environment. Two main features are introduced: an adaptive receptive field (ARF) that captures the relevant surroundings for each ...
The booming air transportation industry inevitably burdens air traffic controllers’ workload, causing unexpected human factor-related incidents. Current air traffic control systems fail to consider spoken instructions for traffic prediction, bringing si
This is the official implementation of the paperMulti-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network. This paper is currently being submitted to IEEE Robotics and Automation Letters (RA-L). Introduction Argoverse 1(single model) ...
Action-based Contrastive Learning for Trajectory Prediction. [arXiv] AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. [arXiv] Aware of the History: Trajectory Forecasting with the Local Behavior Data. [arXiv][Code] Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal ...
9.Barquero-2022-BeLFusion Latent Diffusion for Behavior-Driven Human Motion Prediction 10.SiruiXu-2022-DiverseHumanMotionPredictionGuidedByMultiLevelSpatialTemporalAnchors-ECCV(oral) 我的标签 HMP(19) paper(8) Transformer(5) GCN(4) DiffusionModel(4) Survey(3) DCT(3) CVAE(3) Trajec...