Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments

@article{Jeon2019OnlineTG,
  title={Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments},
  author={Boseong Felipe Jeon and H. Jin Kim},
  journal={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2019},
  pages={1115-1121}
}
  • B. JeonH. Kim
  • Published 6 April 2019
  • Computer Science
  • 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
This work deals with a moving target chasing mission of an aerial vehicle equipped with a vision sensor in a cluttered environment. In contrast to obstacle-free or sparse environments, the chaser should be able to handle collision and occlusion together with flight efficiency. In order to tackle these challenges in real-time, we introduce a metric for target visibility and propose a hierarchical chasing planner. In the first phase, we generate a sequence of waypoints and chasing corridors which… 

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References

SHOWING 1-10 OF 32 REFERENCES

Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments

A novel optimization-based method is presented for generating collision-free trajectories for autonomous quadrotor flight through cluttered environments and computes valid trajectories within fractions of a second on a moderately fast computer, thus permitting online re-generation of trajectory for reaction to new obstacles.

Tracking a moving target in cluttered environments using a quadrotor

This work proposes a formulation to embed both limited horizon tracking error and quadrotor control costs in the cost function for a quadratic programming (QP), while encoding both collision avoidance and dynamical feasibility as linear inequality constraints for the QP.

Real-Time Motion Planning for Aerial Videography With Real-Time With Dynamic Obstacle Avoidance and Viewpoint Optimization

A real-time receding horizon planner that autonomously records scenes with moving targets, while optimizing for visibility under occlusion and ensuring collision-free trajectories and a modular cost function, based on the reprojection error of targets, are proposed.

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

This work proposes a method to formulate trajectory generation as a quadratic program (QP) using the concept of a Safe Flight Corridor (SFC), a collection of convex overlapping polyhedra that models free space and provides a connected path from the robot to the goal position.

Motion Planning for 3-D Target Tracking among Obstacles

An online algorithm for 3-D target tracking among obstacles, using only local geometric information available to a robot’s visual sensors, is proposed, which generated interesting tracking behaviors in three dimensions and performed substantially better than visual servo control in simulation.

Vision-based minimum-time trajectory generation for a quadrotor UAV

This paper presents a minimum time trajectory planning method that guarantees visibility of the image features while allowing the robot to undertake aggressive motions for which the usual near-hovering assumption is violated.

Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments

This work presents a method of jointly optimizing polynomial path segments in an unconstrained quadratic program that is numerically stable for high-order polynomials and large numbers of segments, and is easily formulated for efficient sparse computation.

Motion Planning for People Tracking in Uncertain and Dynamic Environments

An overview of the work on target tracking using partially observable Markov decision process (POMDP) to build a model of target behavior that is capable of more sophisticated tracking behavior and shows simulation results demonstrating the effectiveness of this approach.

Visibility transition planning for dynamic camera control

A real-time camera control system that uses a global planning algorithm to compute large, occlusion free camera paths through complex environments, which enables large-scale camera transitions as well as a local third-person camera module that follows a player and avoids obstructed viewpoints.

Occlusion-free path planning with a probabilistic roadmap

A novel algorithm for path planning that avoids occlusions of a visual target for an ldquoeye-in-handrdquo sensor on an articulated robot arm using a probabilistic roadmap.