02056nam a2200277 4500 384486 384486 20071008d2007 y0pory50 ba eng Shooter localization and weapon classification with soldier wearable networked sensors Recurso eletrónico Peter Volgyesi... [et al.] Nashville Institute for Software Integrated Systems 2007 1 CD-ROM 12 cm Technical Report ISIS-07-802 Resumo inserto no próprio artigo. The paper presents a sensor network-based mobile countersniper system. A sensor node consists of a helmet-mounted microphone array, a COTS MICAz mote for inter-node communication and a custom sensorboard that implements the acoustic detection and Time of Arrival (ToA) estimationalgorithms on an FPGA. A 3-axis compass provides self orientation and Bluetooth is used for communication with the soldier’s PDA running the data fusion and the user interface. The heterogeneous sensor fusion algorithm can work with data from a single sensor or it can fuse ToA or Angle of Arrival (AoA) observations of muzzleblasts and ballistic shockwaves from multiple sensors. The system estimates the trajectory, the range, the caliber and the weapon type. The paper presents the system design and the results from an independent evaluation at the US Army Aberdeen Test Center. The system performance is characterized by 1- degree trajectory precision and over 95% caliber estimation accuracy for all shots, and close to 100% weapon estimation accuracy for 4 out of 6 guns tested. TECNOLOGIA 234237 DETECÇÃO DE ARMA DE FOGO 344659 ATIRADOR 349295 FORÇAS ARMADAS 234599 ESTADOS UNIDOS 334103 ESTADOS UNIDOS Vanderbilt University. Institute for Software Integrated Systems 334103 Oferta 0 PJCD_66_000000000000000 2022-06-06 PJCD66 414465 PJ PJ PJ1CD66_59 PJCD66 2022-06-06 0 MO Oferta