Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments

By Sikang Liu, Michael Watterson, Kartik Mohta, Ke Sun, Subhrajit Bhattacharya, Camillo Jose Taylor, Vijay R. Kumar. IEEE Robotics and Automation Letters, 2017

564 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/39f8d5adde2460efd8a55ab213dd560f23eefa9d

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. Shaojie Shen
2. Boyu Zhou
3. Fu Zhang
4. Jiarong Lin
5. Jie Pan
6. Fei Gao
7. Dongjiao He
8. Wei Xu

In Computer Vision and Pattern Recognition

1. Shaojie Shen
2. Boyu Zhou
3. Jie Pan
4. Fei Gao
5. Dongjiao He
6. Jiarong Lin
7. Wei Xu
8. Yixi Cai

In Control and Systems Engineering

1. Jiarong Lin
2. Chuhao Liu
3. Jie Pan
4. Fei Gao
5. Shaojie Shen
6. Luqi Wang
7. Boyu Zhou
8. Fu Zhang

Citations in the corpus

• FAST-LIO2: Fast Direct LiDAR-Inertial Odometry (2021, background): “Over the last decade, LiDARs have been playing an increasingly important role in many autonomous robots, such as self-driving cars [11] and autonomous UAVs [12, 13].”
• Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight (2019, background): “Free space represented by a sequence of cubes [3, 8], spheres [4, 9] or polyhedrons [5] is firstly extracted, which is followed by convex optimization, which generates smooth trajectory within the feasible space.”
• RAPTOR: Robust and Perception-Aware Trajectory Replanning for Quadrotor Fast Flight (2020, methodology): “Optimistic assumption treats all unknown space as collision-free, which is frequently adopted such as in [7, 14, 15, 26].”