A method of simultaneous localization and mapping (SLAM) is provided to position a target object. Each of detected tracked objects in a surrounding environment of the target object is classified into a moving object or a static object based on data detected at different time points. The target object is then positioned without considering any of the tracked objects that are classified into a moving object.

Disclosed herein are system, method, and computer program product embodiments for cleaning one or more sensors of an autonomous vehicle (AV) system. For example, the system includes a tank to store a solvent. A heat exchanger is disposed in the tank to transfer heat from a heated fluid to the solvent. A first actuator is provided to enable and disable fluid communication of the heated fluid from a coolant system to the heat exchanger. A nozzle is in fluid communication with the tank to spray the solvent on a sensor of an autonomous vehicle (AV) system to remove debris. A controller is programmed to control the first actuator to enable the fluid communication of the heated fluid to the heat exchanger to increase at least one of a temperature and a pressure of the solvent within the tank.

Problems when a first pad on a first substrate for outputting a drive signal for driving a light-emitting element is bonded to a second pad on a second substrate having the light-emitting element are prevented. A light-emitting device includes a first substrate that outputs a drive signal for a light-emitting element, and a second substrate that is laminated on the first substrate and includes the light-emitting element. A first surface side of the first substrate includes a first pad that supplies the drive signal to the light-emitting element, a first conductive layer disposed on the first pad, and a bonding layer disposed on the first conductive layer, and a second surface side of the second substrate facing the first surface of the first substrate includes the light-emitting element having a mesa shape, and a second pad that is disposed on the light-emitting element and bonded to the first pad.

A headlight device includes a first optical system and a second optical system. The first optical system emits first light in a predetermined emission direction. Part of an optical axis of the first optical system coincides with part of an optical axis of the second optical system in the emission direction. The second optical system includes a light receiver and a first optical part, and second light traveling in an incidence direction opposite to the emission direction is incident on the second optical system. The first optical part includes an aperture part that sets a diameter of the second light traveling toward the light receiver through the second optical system to be smaller than a diameter of the second light when entering the second optical system.

An apparatus for ascertaining a distance to an object has a light source unit for emitting an optical signal with a time-varying frequency, an evaluation device for ascertaining a distance to the object based on (a) a measurement signal that arose from the signal and was reflected at the object and (b) a reference signal that was not reflected at the object. The apparatus has also a dispersive element disposed in the signal path of the optical signal and an optical position sensor disposed downstream of this dispersive element in the signal path.

A depth camera assembly is used to obtain depth information describing a local area. The depth camera assembly includes a sensor having a plurality of pixels. Some or all of the pixels are divided into groups that are coupled to respective multi-purpose time-to-digital converters. Each multi-purpose time-to-digital converter comprises an oscillator and a counter. Each pixel in a group is associated with a multiplexer that is configured to select between inputs coupled to the pixel, the oscillator, or a counter associated with a different pixel. The multiplexer outputs the signal to the counter for the time-to-digital converter associated with the pixel. A time-of-flight measurement is taken during a first portion of an image frame. During a second portion of the image frame, the sensor may be used as an intensity counter. During a third portion of the image frame, the depth sensor may be calibrated.

Example embodiments relate to calibration systems for light detection and ranging (lidar) devices. An example calibration system includes a calibration target that includes a surface having at least one characterized reflectivity. The surface is configured to receive one or more calibration signals emitted by a lidar device along one or more optical axes when the lidar device is separated from the calibration target by an adjustable distance. The calibration system also includes at least one lens that modifies the one or more calibration signals. In addition, the system includes an adjustable attenuator configured to attenuate each of the one or more calibration signals to simulate, in combination with the at least one lens, a distance that is greater than the adjustable distance. Further, the system includes a calibration controller configured to analyze data associated with detected reflections of the one or more calibration signals.

A LADAR system includes a transmitter configured to emit a directed optical signal. The LADAR system includes a shared optical aperture through which the directed optical signal is emitted. The shared optical aperture includes a first pupil plane. The shared optical aperture receives a return optical signal that is based on the directed optical signal. The system includes a mirror with a hole through which the directed optical signal passes. The mirror also reflects the return optical signal towards an imager. The imager receives the return optical signal and generates an image. The image is based on a portion of the return optical signal. The system also includes a partial aperture obscuration at a second pupil plane. The partial aperture obscuration may block a portion of internal backscatter in the return optical signal. The system also includes a focal plane to record the image.

A method for image acquisition includes receiving, by an image acquisition computing device, a digitized LiDAR image frame and a thermal image frame of a region of interest from a read out integrated circuit of an image acquisition device coupled to the image acquisition computing device. The LiDAR image frame and the thermal image frame are processed to detect one or more objects of interest located in the region of interest. The detected one or more objects of interest are correlated between the LiDAR image frame and the thermal image frame. The detected one or more objects of interest are identified based on the correlation between the LiDAR image frame and the thermal image frame. An integrated LiDAR and thermal image acquisition device is also disclosed.

A method for image acquisition includes receiving, by an image acquisition computing device, a digitized LiDAR image frame and a thermal image frame of a region of interest from a read out integrated circuit of an image acquisition device coupled to the image acquisition computing device. The LiDAR image frame and the thermal image frame are processed to detect one or more objects of interest located in the region of interest. The detected one or more objects of interest are correlated between the LiDAR image frame and the thermal image frame. The detected one or more objects of interest are identified based on the correlation between the LiDAR image frame and the thermal image frame. An integrated LiDAR and thermal image acquisition device is also disclosed.