论文信息 - Fly Spy: Lightweight Localization and Target Tracking for Cooperating Air and Ground Robots

Fly Spy: Lightweight Localization and Target Tracking for Cooperating Air and Ground Robots

Motivated by the requirements of micro air vehicles, we present a simple method for estimating the position, heading and altitude of an aerial robot by tracking the image of a communicating GPS-localized ground robot. The image-to-GPS mapping thus generated can be used to localize other objects on the ground. Results from experiments with real robots are described.

Gaurav S. Sukhatme | Richard T. Vaughan | James F. Montgomery | Francisco J. Mesa-Martinez

[1] Charles L. Karr,et al. Helicopter flight control with fuzzy logic and genetic algorithms , 1996 .

[2] S. Sastry,et al. Output tracking control design of a helicopter model based on approximate linearization , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[3] Anthony J. Calise,et al. Nonlinear flight control using neural networks , 1994 .

[4] Davendra Yukteshwar Maharaj. The application of nonlinear control theory to robust helicopter flight control , 1994 .

[5] Takeo Kanade,et al. A visual odometer for autonomous helicopter flight , 1999, Robotics Auton. Syst..

[6] George A. Bekey,et al. Learning helicopter control through "teaching by showing" , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[7] George A. Bekey,et al. The USC AFV-I: A Behavior-Based Entry in the 1994 International Aerial Robotics Competition , 1995, IEEE Expert.

[8] Rodney A. Brooks,et al. A Robust Layered Control Syste For A Mobile Robot , 2022 .