Described is a system and method for the classification of agents based on agent movement patterns. In operation, the system receives position data of a moving agent from a camera or sensor. Motion data of the moving agent is then extracted and used to generate a predicted future motion of the moving agent using a set of pre-calculated Echo State Networks (ESN). Each ESN represents an agent classification and generates a predicted future motion. A prediction error is generated for each ESN by comparing the predicted future motion for each ESN with actual motion data. Finally, the agent is classified based on the ESN having the smallest prediction error.

Techniques for determining bathroom occupancy are disclosed herein. In this regard, one or more sensors may determine whether a plumbing fixture is in use. When a plumbing fixture is in use, the one or more sensors may trigger a visual cue that indicates that the plumbing fixture is in use. Additionally, the one or more sensors may send (e.g., transmit) information indicating that the plumbing fixture is in use to one or more computing devices. The information may include a start time of the fixture's usage, an end time of the fixture's usage, a duration of the fixture's usage, etc. The computing device may analyze the information from a plurality of fixtures associated with a location and present the analysis to a user, for example, via a dashboard.

Methods and systems for performing multiple pulse LIDAR measurements are presented herein. In one aspect, each LIDAR measurement beam illuminates a location in a three dimensional environment with a sequence of multiple pulses of illumination light. Light reflected from the location is detected by a photosensitive detector of the LIDAR system during a measurement window having a duration that is greater than or equal to the time of flight of light from the LIDAR system out to the programmed range of the LIDAR system, and back. The pulses in a measurement pulse sequence can vary in magnitude and duration. Furthermore, the delay between pulses and the number of pulses in each measurement pulse sequence can also be varied. In some embodiments, the multi-pulse illumination beam is encoded and the return measurement pulse sequence is decoded to distinguish the measurement pulse sequence from exogenous signals.

Methods and systems for performing multiple pulse LIDAR measurements are presented herein. In one aspect, each LIDAR measurement beam illuminates a location in a three dimensional environment with a sequence of multiple pulses of illumination light. Light reflected from the location is detected by a photosensitive detector of the LIDAR system during a measurement window having a duration that is greater than or equal to the time of flight of light from the LIDAR system out to the programmed range of the LIDAR system, and back. The pulses in a measurement pulse sequence can vary in magnitude and duration. Furthermore, the delay between pulses and the number of pulses in each measurement pulse sequence can also be varied. In some embodiments, the multi-pulse illumination beam is encoded and the return measurement pulse sequence is decoded to distinguish the measurement pulse sequence from exogenous signals.

An object position determining system, applied to a vehicle, comprising: at least one light source, configured to emit light; at least one optical sensor, configured to sense optical data generated based on reflected light of the light; and a processing circuit, configured to compute distance information between the optical sensor and at least one object which generates the reflected light, and real time vehicle orientation data; wherein the processing circuit determines at least one position of the object according to the distance information and the real time vehicle orientation data.

An object position determining system, applied to a vehicle, comprising: at least one light source, configured to emit light; at least one optical sensor, configured to sense optical data generated based on reflected light of the light; and a processing circuit, configured to compute distance information between the optical sensor and at least one object which generates the reflected light, and real time vehicle orientation data; wherein the processing circuit determines at least one position of the object according to the distance information and the real time vehicle orientation data.

Object: To provide a remote substance identification device that can identify an unidentified substance, such as a harmful substance, from a remote location. Solution: Provided are a remote substance identification device and method, the device comprising a laser device 10 that emits a laser beam to an irradiated space; a wavelength conversion device 20 that converts a wavelength of the laser beam emitted from the laser device into a plurality of different wavelengths and that emits laser beams of the different wavelengths to the irradiated space; a light collecting-detecting device 30, 40, 50 that collects and detects resonance Raman-scattered light generated from an irradiated object due to resonance Raman scattering; and a processor 60 that identifies the irradiated object on the basis of a result detected by the collecting-detecting device 30, 40, 50.

The invention is related to a laser diode based multiple beam laser spot imaging system for characterization of vehicle dynamics. A laser diode based, preferably VCSEL based laser imaging system is utilized to characterize the vehicle dynamics. One or more laser beams are directed to the road surface. A compact imaging system including an imaging matrix sensor such as a CCD or CMOS camera measures locations or separations of individual laser spots. Loading status of vehicles and vehicles' pitch and roll angle can be characterized by analyzing the change of laser spot locations or separations.

The invention is related to a laser diode based multiple beam laser spot imaging system for characterization of vehicle dynamics. A laser diode based, preferably VCSEL based laser imaging system is utilized to characterize the vehicle dynamics. One or more laser beams are directed to the road surface. A compact imaging system including an imaging matrix sensor such as a CCD or CMOS camera measures locations or separations of individual laser spots. Loading status of vehicles and vehicles' pitch and roll angle can be characterized by analyzing the change of laser spot locations or separations.

An optical device (100) has a field of view (F) which enlarges as advancing toward one direction from a predetermined position. A housing (200) includes a transmission unit (210). The transmission unit (210) crosses the field of view (F). The housing (200) accommodates the optical device (100). The transmission unit (210) includes a first side (212) and a second side (214). The second side (214) is located on an opposite side to the first side (212). A width of the transmission unit (210) on a side with the second side (214) is narrower than a width of the transmission unit (210) on a side with the first side (212). The second side (214) of the transmission unit (210) is located closer to the predetermined position in the one direction than the first side (212) of the transmission unit (210).