Reinforcement learning for behavior planning of autonomous vehicles in urban scenarios
Z Qiao - 2021 - search.proquest.com
… This thesis focuses on the behavior planner of the autonomous vehicle, and this chapter
describes related work. As introduced in Section 1.2, previous approaches proposed for the …
describes related work. As introduced in Section 1.2, previous approaches proposed for the …
Autonovi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints
… rithm for autonomous vehicles, AutonoVi, which utilizes a data-driven vehicle dynamics model
… In addition to the physical state of the vehicle, we describe its behavior b as a label from a …
… In addition to the physical state of the vehicle, we describe its behavior b as a label from a …
Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine
X Wang, X Qi, P Wang, J Yang - Autonomous Intelligent Systems, 2021 - Springer
… The implementation of the autonomous driving task planning relies on the simulation of …
the final behavior planning for each autonomous vehicle. The main problem of planning is to …
the final behavior planning for each autonomous vehicle. The main problem of planning is to …
A novel local motion planning framework for autonomous vehicles based on resistance network and model predictive control
… route planning, behavior planning, and local motion planning. The … autonomous vehicle
from a starting position to a user-defined destination. The behavior planner decides if the vehicle …
from a starting position to a user-defined destination. The behavior planner decides if the vehicle …
Driver behavior modeling toward autonomous vehicles: Comprehensive review
… has become influential in predicting complex and heterogeneous driver behaviors. DBM
can be extended to AV driving strategies: path planning, decision-making, and vehicle control. …
can be extended to AV driving strategies: path planning, decision-making, and vehicle control. …
Autonomous vehicle social behavior for highway entrance ramp management
… to enable an autonomous vehicle to perform cooperative social behavior. An intention …
autonomous vehicle cannot make safe and robust decisions in the expected plan horizon. …
autonomous vehicle cannot make safe and robust decisions in the expected plan horizon. …
Motion planning for autonomous vehicles in the presence of uncertainty using reinforcement learning
K Rezaee, P Yadmellat… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
… The proposed approach yields much better motion planning behavior compared to con… be
catastrophic in autonomous vehicles. We aim to address the problem of motion planning in the …
catastrophic in autonomous vehicles. We aim to address the problem of motion planning in the …
Behavior and path planning algorithm of autonomous vehicle A1 in structured environments
… In this paper, we focus on the behavior and path planning algorithm for the autonomous
vehicle A1 that was developed for the 2012 AVC. The proposed algorithm is composed of three …
vehicle A1 that was developed for the 2012 AVC. The proposed algorithm is composed of three …
Understanding autonomous vehicles
… likely to affect our day-to-day travel behavior and long-term changes in the structure of our
cities, and what … How local governments can plan for autonomous vehicles. In G. Meyer & S. …
cities, and what … How local governments can plan for autonomous vehicles. In G. Meyer & S. …
Behavior and interaction-aware motion planning for autonomous driving vehicles based on hierarchical intention and motion prediction
… autonomous vehicles. In this paper, we propose an interaction and behavior-aware motion
planning … of intentions and motions of surrounding vehicles. A multimodal hierarchical Inverse …
planning … of intentions and motions of surrounding vehicles. A multimodal hierarchical Inverse …