A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

A system and a method for determining one or more wave characteristics from a moving platform are disclosed. A sonar system, such as an Acoustic Doppler Current Profiler, can profile the water motion relative to the platform, and an earth reference can determine a measure of the platform motion relative to a fixed earth reference. Both water profile and earth reference measurements can be synergistically employed to compensate for motion of the platform. Directional wave spectra and non-directional wave spectrum can be computed and translated via linear wave theory to surface height spectra and used to calculate characteristics, such as significant wave height, peak period, and peak direction.

A system and a method for determining one or more wave characteristics from a moving platform are disclosed. A sonar system, such as an Acoustic Doppler Current Profiler, can profile the water motion relative to the platform, and an earth reference can determine a measure of the platform motion relative to a fixed earth reference. Both water profile and earth reference measurements can be synergistically employed to compensate for motion of the platform. Directional wave spectra and non-directional wave spectrum can be computed and translated via linear wave theory to surface height spectra and used to calculate characteristics, such as significant wave height, peak period, and peak direction.

A railroad car location, speed and heading sensor system including at least one self-powered, tie-mounted sensor node that is applicable universally to different railroad settings without using track circuits, inductive loops, radar systems, and wheel counters and associated disadvantages. Reliable and relatively low cost deterministic and redundant car presence detection is realized when multiple sensor nodes are arranged in a network, which may be a wireless mesh network, that is not affected by environmental conditions.

A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

Multiple exemplary systems for preventing jackknifing are disclosed. The systems comprise an electric motor for extending a shaft into a fifth wheel coupling when a tractor trailer is traveling at above a predetermined speed in a forward direction, physically preventing the tractor trailer from jackknifing. In order to avoid dependence on integration with a tractor, sensors on a trailer are used to determine speed without communication with the tractor or any instruments therein, via reception of one or more waves. When the trailer is determined to be traveling at below the predetermined speed in a forward direction, or at any speed in a backward direction, the shaft is retracted to allow the trailer to freely rotate with respect, to the tractor.

A distributed acoustic anti-unmanned boat intelligence system (DAAUBS) for detecting unmanned boats (UB) approaching protected sites includes a plurality of airborne defense agents (ADAs) and a base station. Each ADA is equipped with air balloons, tethers, buoys, a directional microphone array, a first computing device, and a transceiver. The first computing device causes at least processor to determine information regarding each approaching UB. The base station includes a control center configured with a wideband communications link configured to communicate with the transceiver of each ADA. The DAAUBS control center includes a second computing device performing an intelligence method. The second processor receives and aggregates the data of each approaching UB and performs adaptive noise cancellation to remove environmental background noise. The second processor uses a deep learning classifier to classify at least one of a type and size of the UB.

A distributed acoustic anti-unmanned boat intelligence system (DAAUBS) for detecting unmanned boats (UB) approaching protected sites includes a plurality of airborne defense agents (ADAs) and a base station. Each ADA is equipped with air balloons, tethers, buoys, a directional microphone array, a first computing device, and a transceiver. The first computing device causes at least processor to determine information regarding each approaching UB. The base station includes a control center configured with a wideband communications link configured to communicate with the transceiver of each ADA. The DAAUBS control center includes a second computing device performing an intelligence method. The second processor receives and aggregates the data of each approaching UB and performs adaptive noise cancellation to remove environmental background noise. The second processor uses a deep learning classifier to classify at least one of a type and size of the UB.

Multiple exemplary systems for preventing jackknifing are disclosed. The systems comprise an electric motor for extending a shaft into a fifth wheel coupling when a tractor trailer is traveling at above a predetermined speed in a forward direction, physically preventing the tractor trailer from jackknifing. In order to avoid dependence on integration with a tractor, sensors on a trailer are used to determine speed without communication with the tractor or any instruments therein, via reception of one or more waves. When the trailer is determined to be traveling at below the predetermined speed in a forward direction, or at any speed in a backward direction, the shaft is retracted to allow the trailer to freely rotate with respect, to the tractor.

A method comprising: providing an autonomous vehicle (AV) with a first estimated position of a target; directing the AV to travel toward the first estimated position at a constant velocity; receiving echo signals of transmitted sonar signals, the echo signals indicating a range and an azimuth of the target; determining a depth difference of the AV and the target based on the received echo signals, the depth difference being determined based on changes to the range and azimuth of the target over time; and in response to a depth difference existing, re-directing the AV toward a second estimated position of the target generated from the depth difference.