Bøger af Ba-Ngu Vo

Presents a review of autonomous robotic perception, exploring recent work from the autonomous robotics and tracking communities in general as well as from the authors' own experiences. Throughout the text, experiments and results are derived from the authors' experiences with laser and radar based sensors.

Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application.

Focusing on autonomous robotic applications, this resource offers a practical treatment of short-range radar processing for reliable object detection at the ground level. It demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles.

This book details the use of random finite sets (RFS) and finite set statistics (FISST) in robotics. It focuses on the representation of the environment and its uncertainty, and presents pseudo-code implementations of all the RFS techniques.

Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application.