A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
By Chad L. Goerzen, Zhaodan Kong, Bérénice Mettler. J. Intell. Robotic Syst., 2010
780 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/87dc787ba3a885362e4c9fd29feac3008d3dfbf0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Rui Zhang
- Shuowen Zhang
- Yong Zeng
- Qingqing Wu
- Jie Xu
- Raffaello D'Andrea
- Angela P. Schoellig
- Amna Khan
In Computer Vision and Pattern Recognition
- Rui Zhang
- Raffaello D'Andrea
- Angela P. Schoellig
- Amna Khan
- Yong Zeng
- Federico Augugliaro
- Farid Kendoul
- Zulfiqar Habib
Citations in the corpus
- A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles (2017, background): “Path planning has been widely studied in robotics for obstacle avoidance [2-4].”
- Survey on Coverage Path Planning with Unmanned Aerial Vehicles (2019, neutral): “…approaches for low-cost UAVs [15], trajectory planning with and without differential constraints through an environment with obstacles [16], UAV autonomous guidance under uncertainty conditions [17], helicopter navigation and control techniques [11], and perception and state…”
- Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, background): “It is worth noting that as a related line of research, UAV path planning for dedicated missions without communication performance consideration has been studied in [62]–[65], where the UAV paths were designed such that the UAVs can reach their pre-determined destinations while avoiding collisions wi”
- Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems (2012, methodology): “…to review small subsets of methods in a particular area— Ollero and Merino (2004) for flight controllers, Chao, Cao, and Chen (2010) for autopilots, Goerzen, Kong, and Mettler (2010) for path planning algorithms, and Valavanis (2007) for UAS in general2—there is a real need for a comprehensive…”
- Optimal Path Planning using RRT* based Approaches: A Survey and Future Directions (2016, background): “Initial complete practical planners such as Road Map (RM), Potential Fields, and Cell Decomposition (CD) techniques are unable to deal with dynamic and complex high dimension problems [1, 7-10].”
- Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach (2012, background): “Two recent surveys, [6] and [7], present various research on motion planning for UAVs.”