Review of autonomous intelligent vehicles for urban driving and parking
With the concept of Internet-of-Things, autonomous vehicles can provide higher driving
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …
Mirroring the parking target: An optimal-control-based parking motion planner with strengthened parking reliability and faster parking completion
Automated Parking Assist (APA) systems are now facing great challenges with low adoption
in applications, due to users' concerns about parking capability, reliability, and completion …
in applications, due to users' concerns about parking capability, reliability, and completion …
Autonomous parking trajectory planning with tiny passages: A combination of multistage hybrid A-star algorithm and numerical optimal control
This paper introduces an autonomous parking trajectory planning method in an unstructured
environment with narrow passages. The proposed hierarchical trajectory planner consists of …
environment with narrow passages. The proposed hierarchical trajectory planner consists of …
Research on path planning of autonomous vehicle based on RRT algorithm of Q-learning and obstacle distribution
Y Shang, F Liu, P Qin, Z Guo, Z Li - Engineering Computations, 2023 - emerald.com
Purpose The goal of this research is to develop a dynamic step path planning algorithm
based on the rapidly exploring random tree (RRT) algorithm that combines Q-learning with …
based on the rapidly exploring random tree (RRT) algorithm that combines Q-learning with …
Targettree-rrt*: Continuous-curvature path planning algorithm for autonomous parking in complex environments
Rapidly-exploring random tree (RRT) has been studied for autonomous parking as it quickly
finds an initial path and is easily scalable in complex environments. However, the planning …
finds an initial path and is easily scalable in complex environments. However, the planning …
A variable-sampling time model predictive control algorithm for improving path-tracking performance of a vehicle
This paper proposes a novel model predictive control (MPC) algorithm that increases the
path tracking performance according to the control input. The proposed algorithm reduces …
path tracking performance according to the control input. The proposed algorithm reduces …
Spatio-temporal heuristic method: a trajectory planning for automatic parking considering obstacle behavior
N Gan, M Zhang, B Zhou, T Chai… - Journal of Intelligent …, 2022 - ieeexplore.ieee.org
Purpose-The purpose of this paper is to develop a real-time trajectory planner with optimal
maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking …
maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking …
A complete framework for a behavioral planner with automated vehicles: a car-sharing fleet relocation approach
Currently, research on automated vehicles is strongly related to technological advances to
achieve a safe, more comfortable driving process in different circumstances. The main …
achieve a safe, more comfortable driving process in different circumstances. The main …
[HTML][HTML] Trajectory planning and control for autonomous vehicles: a “fast” data-aided NMPC approach
A huge research effort is being spent worldwide by automotive companies and academic
institutions for develo** vehicles with high levels of autonomy, ranging from advanced …
institutions for develo** vehicles with high levels of autonomy, ranging from advanced …
Autonomous vehicle parking in dynamic environments: An integrated system with prediction and motion planning
This paper presents an integrated motion planning system for autonomous vehicle (AV)
parking in the presence of other moving vehicles. The proposed system includes 1) a hybrid …
parking in the presence of other moving vehicles. The proposed system includes 1) a hybrid …