Other

Soltare Inc.

Ken Brizel

Brian H Moore

Viet Hoang

Siamak Akhlaghi Esfahany

Ajay Sandhu

Ilya Utkin

Murray Paulson

Warren Sheydwasser

Siamak A Esfahany

A system and method for detection of an aerial drone in an environment includes a baseline of geo-mapped sensor data in a temporal and location indexed database formed by (i) using at least one sensor to receive signals from the environment and converting into digital signals for further processing; (ii) deriving time delays, object signatures, Doppler shifts, reflectivity, and/or optical characteristics from the received signals; (iii) geo-mapping the environment using GNSS and the sensor data; and (iv) logging sensor data over a time interval, for example 24 hours to 7 days. Live sensor data can be then be monitored and signature data can be derived by computing at least one parameter such as direction and signal strength. The live data is continuously or periodically compared to the baseline data to identify a variance, if any, which may be indicative of a detection event.

Drone detection using multi-sensory arrays

A lidar sensor system and method use the parallax phenomenon to determine one or more attributes of an object, such its distance, size, or shape. An optical element illuminates the object with a linear beam along a first plane. A photodetector is displaced from the optical element so that it detects the reflection of the linear beam from the object along a second plane, which is at an angle to the first plane. A computer-implemented line detection module determines a measure of deviation of the linear beam reflection from a vanishing point of the first plane. A computer-implemented analysis module determines the attribute based on the measure of deviation.

Lidar system for object detection and recognition

Audio-derived information is provided to a vehicle control system of a vehicle by attaching a microphone externally to a vehicle to generate an analog signal in response to sound waves external to the vehicle. An enclosure containing sound-attenuating material mechanically filters low frequency sounds from reaching the microphone transducer. An analog-to-digital converter converts the analog signal to a digital signal. A vehicle data bus transfers the digital signal to the vehicle control system.

Audio processing for vehicle sensory systems

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing a digital target sound template produced by converting a sample of the target sound in accordance with conversion parameters. The computer processor receives a sound signal from the audio sensor, digitizes the sound signal in accordance with the conversion parameters, and determines a degree of similarity between the digitized signal and the digital target sound template. The sound signal may be logarithmically amplified before being digitized. The sound signal may be received from two audio sensors, and the direction of the target sound may be determined based on a difference between time indices for detection of the target sound for each audio sensor.

Systems and methods for detection of a target sound

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing digital target sound templates produced by converting samples of the target sound in accordance with conversion parameters. The computer processor receives the sample sound signal from the audio sensor, converts the sample sound signal to a digital sample vector in accordance with the conversion parameters, compares the vector to each of the templates to determine if a degree of similarity of the vector to any one of the templates exceeds a predetermined threshold value, and notifies a user or a vehicle control system if the threshold value is exceeded.

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Edmonton, Canada

Ken Brizel