11 accepted papers
Search and rescue (SAR) operations in large-scale disaster sites, such as areas affected by earthquakes, require rapid victim detection. While drones equipped with cameras are commonly used for SAR, their effectiveness is limited in visually obstructed environments, because of debris, smoke, or fog.
This paper presents a data-driven multiple model framework for estimating the intention of a target from observations. Multiple model (MM) state estimation methods have been extensively used for intention estimation by mapping one intention to one dynamic model assuming one-to-one relations. However…
Autonomous robots need to recognize the environment by identifying the scene. Scan context is one of global descriptors, and it encodes the three-dimensional scan data of the scene for the identification in a matrix form. Scan context is in a matrix form that is simple to store, but the matching of…
This paper proposes a microphone array with a speaker to recognize the shape of the surface of the target object by using the standing wave between the transmitted and the reflected acoustic signals. Because the profile of the distance spectrum encodes both the distance to the target and the distanc…
Drone audition, namely the hearing capability of a drone, is expected to compensate for the drawbacks of visual sensors in search-and-rescue missions. Current multi-rotor drones have limitations of flight duration and sound processing due to ego-noise generated by rotors and air-flow. Drone audition…
Drone audition, or auditory processing for drones equipped with a microphone array, is expected to compensate for problems affecting drones' visual processing, in particular occlusion and poor-illumination conditions. The current state of drone audition still assumes a single sound source. When a dr
This paper proposes a belief-driven control policy of a drone with microphones for multiple sound source search. As the sound source localization by drones is uncertain because of the observation significantly distorted by noise such as rotor noise, the belief on the estimated targets may consist of…
This paper addresses online outdoor sound source localization using a microphone array embedded in an unmanned aerial vehicle (UAV). In addition to sound source localization, sound source enhancement and robust communication method are also described. This system is one instance of deployment of our…
This paper describes a non-field-of-view (NFOV) localization approach for a mobile robot in an unknown environment based on an acoustic signal combined with the geometrical information from an optical sensor. The approach estimates the location of a target through the mobile robot's sensor observati…
Multirotor helicopters are expected to be utilized various tasks including rescue missions and surveillance. For those missions, sensors are equipped with helicopters in order to recognize the environment, and auditory information is one of such information that can be utilized to find the target so…
Unmanned multirotor helicopters have been expected for various critical tasks such as rescue missions, and it is important to sense the environment to achieve those tasks. In order to realize such sensor systems, this paper considers acoustic information recognition from a hovering helicopter which…