A fast integrated planning and control framework for autonomous driving via imitation learning
Safety and efficiency are two key elements for planning and control in autonomous driving.
Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
L Sun, C Peng, W Zhan, M Tomizuka - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
For safe and efficient planning and control in autonomous driving, we need a driving policy
which can achieve desirable driving quality in long-term horizon with guaranteed safety and …
which can achieve desirable driving quality in long-term horizon with guaranteed safety and …
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
L Sun, C Peng, W Zhan, M Tomizuka - arXiv preprint arXiv:1707.02515, 2017 - arxiv.org
For safe and efficient planning and control in autonomous driving, we need a driving policy
which can achieve desirable driving quality in long-term horizon with guaranteed safety and …
which can achieve desirable driving quality in long-term horizon with guaranteed safety and …
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
L Sun, C Peng, W Zhan… - Dynamic Systems …, 2018 - asmedigitalcollection.asme.org
Safety and efficiency are two key elements for planning and control in autonomous driving.
Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
L Sun, C Peng, W Zhan, M Tomizuka - Volume 3: Modeling and …, 2018 - cir.nii.ac.jp
抄録< jats: p> Safety and efficiency are two key elements for planning and control in
autonomous driving. Theoretically, model-based optimization methods, such as Model …
autonomous driving. Theoretically, model-based optimization methods, such as Model …