Integrating deep reinforcement learning with optimal trajectory planner for automated driving

W Zhou, K Jiang, Z Cao, N Deng… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
driving goals of surrounding vehicles are random (turn left, go straight, etc.), the driving style
… left side is far away and driving straight forward, the fixed baseline policy plan to pass the …

Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles

Y Xing, C Lv, D Cao - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… vehicle trajectory prediction considering different driving styles is proposed. The proposed
method enables a precise and personalized trajectory … Three different driving styles are first …

Comprehensive treated sections in a trajectory planner for realizing autonomous driving in Braunschweig's urban traffic

JM Wille, F Saust, M Maurer - 13th International IEEE …, 2010 - ieeexplore.ieee.org
… a precise trajectory planningtrajectory planner is in charge to generate optimized trajectories
independent from those divergent constraints. The purpose of the shown trajectory planner

[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

C Katrakazas, M Quddus, WH Chen, L Deka - Transportation Research Part …, 2015 - Elsevier
… The implementation of most existing trajectory planning algorithms follows two steps: (i)
trajectory … sampling; leading to a more focused search and a more human-like driving style. …

Optimal trajectory planning for mitigated motion sickness: Simulator study assessment

V Jain, SS Kumar, G Papaioannou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… In this direction, the “AV driving style” should not only be carefully designed, but also …
exposed to this driving style. This work aims to reduce sickening stimuli by planning the vehicle …

Data-driven Trajectory Planning of Lane Change Maneuver for Autonomous Driving

Y Yoon, K Yi - 2023 - sae.org
… to be encoded in the motion planning. In this paper, a trajectory planning method for the lane
… The lateral and longitudinal motion are planned via sampling method and Model Predictive …

Driver characterization & driver specific trajectory planning: An inverse optimal control approach

C Gote, M Flad, S Hohmann - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
… different driving styles, while [8] includes the driver state in a lane departure warning system.
In [9] a model of the human driver’s steering process including path-planning, the driver’s …

Driver influence on vehicle trajectory prediction

M Khakzar, A Bond, A Rakotonirainy… - Accident Analysis & …, 2021 - Elsevier
… Several studies have tried to identify driving styles and show risky driver behaviours and
crash involvement that are influenced at the individual level (ie, determined by the decisions of …

Full vehicle trajectory planning model for urban traffic control based on imitation learning

J Ying, Y Feng - Transportation research record, 2022 - journals.sagepub.com
… a full trajectory planning model that considers both in-lane driving and lane changing
maneuvers. The trajectory … (7) applied maximum entropy IRL to learn different driving styles from …

Parking like a human: A direct trajectory planning solution

W Liu, Z Li, L Li, FY Wang - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
trajectory planning errors that are caused by model uncertainty in this paper. We show that
an appropriate combination of feedforward trajectory planning … of driving environment in this …