A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
Optimization-based collision avoidance
This article presents a novel method for exactly reformulating nondifferentiable collision
avoidance constraints into smooth, differentiable constraints using strong duality of convex …
avoidance constraints into smooth, differentiable constraints using strong duality of convex …
Time-optimal maneuver planning in automatic parallel parking using a simultaneous dynamic optimization approach
Autonomous parking has been a widely developed branch of intelligent transportation
systems. In autonomous parking, maneuver planning is a crucial procedure that determines …
systems. In autonomous parking, maneuver planning is a crucial procedure that determines …
Automatic parallel parking in tiny spots: Path planning and control
H Vorobieva, S Glaser… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
This paper presents automatic parallel parking for a passenger vehicle, with highlights on a
path-planning method and on experimental results. The path-planning method consists of …
path-planning method and on experimental results. The path-planning method consists of …
Reinforcement learning-based motion planning for automatic parking system
J Zhang, H Chen, S Song, F Hu - IEEE Access, 2020 - ieeexplore.ieee.org
In automatic parking motion planning, multi-objective optimization including safety, comfort,
parking efficiency, and final parking performance should be considered. Most of the current …
parking efficiency, and final parking performance should be considered. Most of the current …
A novel path planning methodology for automated valet parking based on directional graph search and geometry curve
The paper presents a novel path planning methodology based on the directional graph
search and the geometry curve for the Automated Valet Parking (AVP) system. The whole …
search and the geometry curve for the Automated Valet Parking (AVP) system. The whole …
Simultaneous dynamic optimization: A trajectory planning method for nonholonomic car-like robots
Trajectory planning in robotics refers to the process of finding a motion law that enables a
robot to reach its terminal configuration, with some predefined requirements considered at …
robot to reach its terminal configuration, with some predefined requirements considered at …
Hybrid curvature steer: A novel extend function for sampling-based nonholonomic motion planning in tight environments
H Banzhaf, L Palmieri, D Nienhüser… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
Finding optimal paths for self-driving cars in cluttered environments is one of the major
challenges in autonomous driving. The complexity stems from the nonlinearity of the system …
challenges in autonomous driving. The complexity stems from the nonlinearity of the system …
Path planning with orientation-aware space exploration guided heuristic search for autonomous parking and maneuvering
Due to the nonholonomic constraints of the vehicle kinematics, parking and maneuvering a
car in a narrow clustered space are among the most challenging driving tasks. This paper …
car in a narrow clustered space are among the most challenging driving tasks. This paper …