Abstract: A method for determining spin of a projectile comprising generating an electromagnetic radar signal and transmitting the electromagnetic radar signal towards a projectile. Receiving a reflected electromagnetic radar signal from the projectile. Identifying a component of the reflected electromagnetic radar signal, and performing an autocorrelation process on the reflected electromagnetic radar signal using the component to generate an estimate of a spin of the projectile as a function of the autocorrelation process.

Abstract: A method for determining spin of a projectile comprising generating an electromagnetic radar signal and transmitting the electromagnetic radar signal towards a projectile. Receiving a reflected electromagnetic radar signal from the projectile. Identifying a component of the reflected electromagnetic radar signal, and performing an autocorrelation process on the reflected electromagnetic radar signal using the component to generate an estimate of a spin of the projectile as a function of the autocorrelation process.

Abstract: A method for determining spin of a projectile is disclosed that includes generating an electromagnetic radar signal and transmitting the electromagnetic radar signal towards a projectile, receiving a reflected electromagnetic radar signal from the projectile and transforming the reflected electromagnetic radar signal from a time domain to a frequency domain to generate a frequency domain signal. A peak frequency component of the frequency domain signal is identified, shoulder frequencies adjacent to the peak frequency component in the frequency domain signal are identified, and an estimate of the spin of the projectile as a function of the shoulder frequencies is generated.

Abstract: A method for determining spin of a projectile comprising generating an electromagnetic radar signal and transmitting the electromagnetic radar signal towards a projectile. Receiving a reflected electromagnetic radar signal from the projectile. Identifying a component of the reflected electromagnetic radar signal, and performing an autocorrelation process on the reflected electromagnetic radar signal using the component to generate an estimate of a spin of the projectile as a function of the autocorrelation process.

Abstract: A method for determining spin of a projectile is disclosed that includes generating an electromagnetic radar signal and transmitting the electromagnetic radar signal towards a projectile, receiving a reflected electromagnetic radar signal from the projectile and transforming the reflected electromagnetic radar signal from a time domain to a frequency domain to generate a frequency domain signal. A peak frequency component of the frequency domain signal is identified, shoulder frequencies adjacent to the peak frequency component in the frequency domain signal are identified, and an estimate of the spin of the projectile as a function of the shoulder frequencies is generated.

Abstract: A system determines absolute speed of a moving object. In AM, time of flight data over a time period is processed to determine ranges between the system and the moving object. The system performs linear regression analysis on the collected ranges to calculate the radial velocity. The system measures angular swivel rate of the system to determine tangential velocity. From the radial velocity and tangential velocity, the absolute speed can be calculated by taking the square root of the addition of the square of the radial velocity and square of the tangential velocity. In MM, the system calculates object distance, i.e. distance in the direction of travel, by subtracting the square of a pre-determined perpendicular distance L, perpendicular to the direction of travel, from a square of line-of-sight distance R, and taking square root of the result. Absolute speed is determined by calculating the slope of modified linear regression curve-fit.

Abstract: A system that can determine and provision speed and mapping information of a moving object. Time of flight data over a time period can be processed to determine ranges between the system and the moving object and the speed can be determined therefrom. The speed can be determined by calculating the radial velocity and tangential velocity of the object and taking the square root of the addition of the square of each. Alternatively, the speed can be determined by calculating a linear regression curve fit for instantaneous distances of the moving object in the direction of motion for a plurality of ranges and determining the slope of the linear regression curve fit. After a lock of the determined speed, system coordinates can be identified and associated with the speed. A map can be received based upon the system coordinates and the map, speed and speed related parameters can be communicated.

Abstract: A system that can determine and provision speed and mapping information of a moving object. Time of flight data over a time period can be processed to determine ranges between the system and the moving object and the speed can be determined therefrom. The speed can be determined by calculating the radial velocity and tangential velocity of the object and taking the square root of the addition of the square of each. Alternatively, the speed can be determined by calculating a linear regression curve fit for instantaneous distances of the moving object in the direction of motion for a plurality of ranges and determining the slope of the linear regression curve fit. After a lock of the determined speed, system coordinates can be identified and associated with the speed. A map can be received based upon the system coordinates and the map, speed and speed related parameters can be communicated.

Abstract: A system determines absolute speed of a moving object. In AM, time of flight data over a time period is processed to determine ranges between the system and the moving object. The system performs linear regression analysis on the collected ranges to calculate the radial velocity. The system measures angular swivel rate of the system to determine tangential velocity. From the radial velocity and tangential velocity, the absolute speed can be calculated by taking the square root of the addition of the square of the radial velocity and square of the tangential velocity. In MM, the system calculates object distance, i.e. distance in the direction of travel, by subtracting the square of a pre-determined perpendicular distance L, perpendicular to the direction of travel, from a square of line-of-sight distance R, and taking square root of the result. Absolute speed is determined by calculating the slope of modified linear regression curve-fit.

Abstract: A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.

Abstract: A system for detecting driver vehicle travelling in an unsafe manner comprising a radar system configured to generate a sequence of frames of radar data. A target trajectory system configured to receive the sequence of frames of radar data and to generate target trajectory data for a vehicle. An alarm system configured to receive the target trajectory data and to generate an alarm as a function of the target trajectory data, a probability of collision, a degree of erratic driving or other suitable data.

Abstract: A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.

Abstract: A system for detecting driver vehicle travelling in an unsafe manner comprising a radar system configured to generate a sequence of frames of radar data. A target trajectory system configured to receive the sequence of frames of radar data and to generate target trajectory data for a vehicle. An alarm system configured to receive the target trajectory data and to generate an alarm as a function of the target trajectory data, a probability of collision, a degree of erratic driving or other suitable data.

Abstract: A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.

Abstract: A system for detecting driver vehicle travelling in an unsafe manner comprising a radar system configured to generate a sequence of frames of radar data. A target trajectory system configured to receive the sequence of frames of radar data and to generate target trajectory data for a vehicle. An alarm system configured to receive the target trajectory data and to generate an alarm as a function of the target trajectory data, a probability of collision, a degree of erratic driving or other suitable data.

Abstract: A Lidar measurement device for vehicular traffic surveillance and method for use of same are disclosed. In one embodiment, video circuitry acquires video of a field of view having a target therein. A steerable laser progressively transmits laser range-finding signals to the field of view in a horizontal and vertical step-wise manner and receives reflected laser range-finding signals from the target. A processing circuit portion determines target data of the target based upon range and time measurements associated with the reflected laser range-finding signals. The processing circuit then integrates the target data into the video such that the video may displayed with an image of the target and speed measurement associated therewith.

Abstract: A Lidar measurement device for vehicular traffic surveillance and method for use of same are disclosed. In one embodiment, video circuitry acquires video of a field of view having a target therein. A steerable laser progressively transmits laser range-finding signals to the field of view in a horizontal and vertical step-wise manner and receives reflected laser range-finding signals from the target. A processing circuit portion determines target data of the target based upon range and time measurements associated with the reflected laser range-finding signals. The processing circuit then integrates the target data into the video such that the video may displayed with an image of the target and speed measurement associated therewith.

Abstract: A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.

Abstract: A Lidar measurement device for vehicular traffic surveillance and method for use of same are disclosed. In one embodiment, video circuitry acquires video of a field of view having a target therein. A steerable laser progressively scans the field of view to identify targets. The steerable laser then progressively, repeatedly scans a sub-field of the field of view containing the target. A processing circuit portion determines target data of the target based upon range and time measurements associated with reflected laser range-finding signals from the scans of the sub-field. The processing circuit then integrates the target data into the video such that the video may displayed with an image of the target and target data, such as a speed measurement, associated therewith.

Abstract: A Lidar measurement device for vehicular traffic surveillance and method for use of same are disclosed. In one embodiment, video circuitry acquires video of a field of view having a target therein. A steerable laser progressively transmits laser range-finding signals to the field of view in a horizontal and vertical step-wise manner and receives reflected laser range-finding signals from the target. A processing circuit portion determines target data of the target based upon range and time measurements associated with the reflected laser range-finding signals. The processing circuit then integrates the target data into the video such that the video may displayed with an image of the target and speed measurement associated therewith.