Robust algorithm for real-time route planning

By R. Szczerba, Peggy Galkowski, Ira S. Glicktein, Noah Ternullo. IEEE Transactions on Aerospace and Electronic Systems, 2000

325 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/09c55856ba556d9a10c3dccde59f155f63979063

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

1. Yuncheng Lu
2. Quang Phuc Ha
3. Manh Duong Phung
4. Gui-Song Xia
5. Zhucun Xue
6. Liangpei Zhang

In Computer Vision and Pattern Recognition

1. Liangpei Zhang
2. Gui-Song Xia
3. Yuncheng Lu
4. Quang Phuc Ha
5. Manh Duong Phung
6. Zhucun Xue
7. Xiaoqiang Lu
8. Gong Cheng

Citations in the corpus

• Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization (2021, methodology): “This algorithm is extended in [13] to include UAV constraints such as the turning angle.”
• A survey on vision-based UAV navigation (2018, background): “Szczerba et al. (2000) presented the sparse A-star search (SAS) for path planning, and this algo-rithm effectively reduces the computation complexity by adding constraints to space searching during path planning.”