, Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles
Examination of driver lane change behavior and the potential effectiveness of warning onset rules for lane change or "side" crash avoidance systems. Dissertation, 1997. ,
Modeling vehicle interactions in microscopic simulation of merging and weaving, Transportation Research Part C: Emerging Technologies, vol.13, issue.1, pp.37-62, 2005. ,
Lane Change Algorithm for Autonomous Vehicles via Virtual Curvature Method, Journal of Advanced Transportation, vol.43, issue.1, pp.47-70, 2007. ,
Lane Change and Path Planning of Autonomous Vehicles using GIS, 12 th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015. ,
A hierarchical model predictive control framework for on-road formation control of autonomous vehicles, Intelligent Vehicles Symposium (IV), pp.376-381, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01298637
A machine learning approach for personalized autonomous lane change initiation and control, IEEE Intelligent Vehicles Symposium (IV), 2017. ,
A Data-driven Model for Lanechanging in Traffic Simulation, Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 2016. ,
An Adaptive PID Controller with Neural Network Self-Tuning for Vehicle Lane Keeping System, SAE Technical Paper, 1482. ,
HighDimensional Continuous Control Using Generalized Advantage Estimation, 2015. ,
, Trust Region Policy Optimization, 2015.
Deep reinforcement learning for simulated autonomous vehicle control, 2016. ,
End-to-End Deep Reinforcement Learning for Lane Keeping Assist, 30th Conference on Neural Information Processing Systems (NIPS), 2016. ,
Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge, IEEE 20th International Conference on ITS, 2017. ,
Book: Reinforcement Learning: An Introduction, 2016. ,
A model for the structure of lane-changing decisions, Transportation Research Part B: Methodological, vol.20, pp.403-414, 1986. ,
Experience replay for realtime reinforcement learning control, IEEE Transactions on Systems, vol.42, issue.2, pp.201-212 ,