Guidance system

About: Guidance system is a research topic. Over the lifetime, 4282 publications have been published within this topic receiving 45964 citations.

Steering a Tractor by Means of an EMG-Based Human-Machine Interface

Abstract: An electromiographic (EMG)-based human-machine interface (HMI) is a communication pathway between a human and a machine that operates by means of the acquisition and processing of EMG signals. This article explores the use of EMG-based HMIs in the steering of farm tractors. An EPOC, a low-cost human-computer interface (HCI) from the Emotiv Company, was employed. This device, by means of 14 saline sensors, measures and processes EMG and electroencephalographic (EEG) signals from the scalp of the driver. In our tests, the HMI took into account only the detection of four trained muscular events on the driver’s scalp: eyes looking to the right and jaw opened, eyes looking to the right and jaw closed, eyes looking to the left and jaw opened, and eyes looking to the left and jaw closed. The EMG-based HMI guidance was compared with manual guidance and with autonomous GPS guidance. A driver tested these three guidance systems along three different trajectories: a straight line, a step, and a circumference. The accuracy of the EMG-based HMI guidance was lower than the accuracy obtained by manual guidance, which was lower in turn than the accuracy obtained by the autonomous GPS guidance; the computed standard deviations of error to the desired trajectory in the straight line were 16 cm, 9 cm, and 4 cm, respectively. Since the standard deviation between the manual guidance and the EMG-based HMI guidance differed only 7 cm, and this difference is not relevant in agricultural steering, it can be concluded that it is possible to steer a tractor by an EMG-based HMI with almost the same accuracy as with manual steering.

System and method for inspection of structures and objects by swarm of remote unmanned vehicles

Abstract: A method for inspecting structures that includes using a plurality of independent unmanned mobile vehicles. The unmanned mobile vehicles are equipped with a control and guidance system for enabling each unmanned mobile vehicle to operate autonomously. Each unmanned mobile vehicle may be programmed with an operating program that defines a path of travel for it, relative to a structure to be inspected. The unmanned mobile vehicles are deployed so that they cooperatively form a swarm that travels about the structure. At least one of said unmanned mobile vehicles is used to obtain inspection data of a portion of the structure as it executes its respective operating program.

Systems and methods providing tactile guidance using sensory supplementation

Abstract: A tactile guidance system and method provides a user with navigational assistance through continuous background communication. This continuous background communication is realized through tactile cueing. By making the direction giving through tactile cues, a user's main attention can focus on visual and auditory cues in the real world, instead of focusing on the direction giving device itself. An electronic compass maintains the orientation of a user. A navigation state is maintained as a combination of orientation, location and destination. A guidance server provides a mapping from a user's current location to directions to a desired destination. Communication links maintain communication between the tactile direction device and the guidance server. The compass, tactile direction device, communication links and guidance server all interact to provide direction information to a user via a tactile surface. The tactile direction device is small enough to be hand-held or incorporated, for example, into a briefcase handle.

Gnss integrated multi-sensor control system and method

Abstract: A GNSS integrated multi-sensor guidance system for a vehicle assembly includes a suite of sensor units, including a global navigation satellite system (GNSS) sensor unit comprising a receiver and an antenna. An inertial measurement unit (IMU) outputs vehicle dynamic information for combining with the output of the GNSS unit. A controller with a processor receives the outputs of the sensor suite and computes steering solutions, which are utilized by vehicle actuators, including an automatic steering control unit connected to the vehicle steering for guiding the vehicle. The processor is programmed to define multiple behavior-based automatons comprising self-operating entities in the guidance system, which perform respective behaviors using data output from one or more sensor units for achieving the behaviors. A GNSS integrated multi-sensor vehicle guidance method is also disclosed.