Abstract: Devices, systems, and methods are provided for optical device validation. For example, a system may comprise an optical device operable to emit or absorb light, wherein the optical device comprises a lens having an outer surface. The system may comprise a camera positioned in a line of sight of the optical device, wherein the camera is operable to capture one or more images of the optical device. The system may comprise a computer system in communication with to the camera and operable to calculate a validation score for a captured image of the one or more images and to validate the optical device based on a validation state generated using the calculated validation score.

Abstract: Devices, systems, and methods are provided for mitigating vehicle power loss. A vehicle charging system may include a power supply, and a voltage control device associated with receiving first voltage from the power supply, providing the first voltage to a hybrid vehicle or a battery electric vehicle, and blocking a second voltage from the hybrid vehicle or the battery electric vehicle, wherein the vehicle charging system is external to the hybrid vehicle or the battery electric vehicle.

Abstract: Devices, systems, and methods are provided for rapid laser recharging. A pulse emitting device may include an emitter to emit pulses, a first capacitor to provide pulses to the emitter, a second capacitor to charge the first capacitor, a first gate and a second gate to control the flow of current to the capacitors and the emitter, and a power supply configured to supply energy associated with the pulses. When the first gate is open, the first capacitor charges a first pulse of the pulses. When the first gate closes, the emitter emits the first pulse. When the first gate opens, the second gate closes and the second capacitor charges the first capacitor with a second pulse of the pulses. When the second gate opens after the second capacitor charges the first capacitor with the second pulse, the first gate closes and the emitter emits the second pulse.

Abstract: Devices, systems, and methods are provided for sensor health and regression testing. A sensor testing system may include a first plurality of sensor testing targets positioned on a first side of a vehicle at a first distance from the vehicle, a second plurality of sensor testing targets positioned on a second side of the vehicle at the first distance, and a first sensor testing target positioned at a second distance from the vehicle, the second distance further from the vehicle than the first distance. The first and second pluralities of sensor testing targets both may include three or more sensor testing targets for testing cameras and light detection and ranging (LIDAR) sensors of the vehicle. The first sensor testing target may be used to test at least one of camera or LIDAR data. The sensor testing system may identify degradation of sensor performance, triggering further analysis and/or repairs.

Abstract: Devices, systems, and methods are provided for improved heat transfer LIDAR. A LIDAR device may comprise a LIDAR housing configured to attach to a vehicle to detect one or more objects in the field of view of the LIDAR device, wherein the LIDAR housing encloses one or more gases, wherein the one or more gases have a characteristic of being more thermal conductive than air. The LIDAR device may comprise one or more windows allowing light signals to pass through, wherein the one or more windows are attached to one or more walls of the LIDAR housing. The LIDAR device may comprise a rotating platform situated inside the LIDAR housing and configured to rotate around a center axis relative to the LIDAR housing. The LIDAR device may comprise one or more light signal transmitters configured to transmit first light signals through the one or more windows.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The method may also include converting the first information from the first format into an agnostic format. The method may also include capturing an image, video, or real-time feed of an environment of the smart infrastructure device. The method may also include identifying the first vehicle and a second vehicle in the image, video, or real-time feed. The method may also include determining, based on the image, video, or real-time feed, that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve identifying that a software update is available for a smart infrastructure system. The example method may also involve determining, by a processor of the smart infrastructure system and using a signal strength between a first vehicle and the smart infrastructure system, that the first vehicle is within a threshold range of the smart infrastructure system. The example method may also involve establishing, by the smart infrastructure system, a first ad-hoc peer-to-peer communication link with the first vehicle. The example method may also involve sending, to the vehicle, a request for the software update. The example method may also involve receiving, from the vehicle, at least a first portion of the software update that is transferred using the first ad-hoc peer-to-peer communication link.

Abstract: Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value.

Abstract: Systems, methods, and computer-readable media are disclosed for smart infrastructure data transfer. An example system is provided with a processor and a memory storing computer-executable instructions that are executed by the processor. The processor sends, over a network, a first software image to a first smart device of a system of smart devices to update a first group of smart devices of the system; and performs a discovery process to identify a second group of smart devices of the system. The second group of smart devices being based on a number or type of smart devices accessible on the system. The processor also creates a second software image including a software update for the second group of smart devices; and sends, over the network, the second software image to the first smart device to update the second group of smart devices.

Abstract: Systems, methods, and computer-readable media are disclosed for multi-detector LIDAR and methods. An example method may include emitting, by a light emitter of a LIDAR system, a first light pulse. The example method may also include activating a first light detector of the LIDAR system at a first time, the first time corresponding a time when return light corresponding to the first light pulse would be within a first field of view of the first light detector.

Abstract: Systems, methods, and computer-readable media are disclosed for multi-detector LIDAR and methods. An example method may include emitting, by a light emitter of a LIDAR system, a first light pulse. The example method may also include activating a first light detector of the LIDAR system at a first time, the first time corresponding a time when return light corresponding to the first light pulse would be within a first field of view of the first light detector.

Abstract: Devices, systems, and methods are provided for enhanced pointing angle validation. A device may generate a collimated beam using a light source emitting a light beam through a fiducial target in an optical instrument. The device may capture an image fiducial target using a camera, wherein the camera is mounted on a mounting datum that is orthogonal to the collimated beam. The device may determine a pointing angle associated with camera based on the captured image of the fiducial target. The device may compare a location of the fiducial target in the image to an optical center of the camera. The device may determine a validation status of camera based on the location of the fiducial target in the image.

Abstract: A kind of electromagnetic vehicle pulse effects various dimensions remote online monitoring system of the present invention belongs to technical field of electromagnetic compatibility measurement, its structure has CAN bus to diagnose subsystem (1), audio-video monitoring subsystem (2), induced voltage measurement subsystem (3), fiber distribution network (4) and remote control subsystem (5), wherein, remote control subsystem 5 is connected respectively to CAN bus by fiber distribution network (4) and diagnoses subsystem (1), audio-video monitoring subsystem (2) and induced voltage measurement subsystem (3).

Abstract: An object of the present invention is to provide a method capable of calibrating a sensor function required in a safety design of a radar safety sensor in real time. A calibration station (11) is provided on a traveling route of an unmanned vehicle (1) on which a safety sensor (3) for detecting an obstacle (2) ahead is mounted, and a standard reflection is provided at a position of a maximum measurement distance (L) of the safety sensor (3) at the calibration station (11). Prior to normal traveling of the unmanned trolley 1, the unmanned trolley 1 is moved to the calibration station 11 in advance, and the reference value obtained by measuring the standard reflector 12 with the safety sensor 3 is taught, During normal operation of the unmanned trolley 1, every time the unmanned trolley 1 reaches the calibration station 11, the measured value obtained by measuring the standard reflector 12 by the safety sensor 3 is compared with a reference value. Calibrate the sensor function of.

Abstract: Devices, systems, and methods are provided for enhanced obstacle detection. A vehicle may detect a neighboring vehicle traveling on a first road in a first traffic direction in a vicinity of the vehicle. The vehicle may collect data associated with the neighboring vehicle using one or more sensors of the vehicle. The vehicle may determine a status of the neighboring vehicle at a geolocation of the neighboring vehicle based on the collected data. The vehicle may determine that a first road anomaly occurred at the geolocation based on the status of the neighboring vehicle. The vehicle may set a first flag indicating the first road anomaly. The vehicle may determine to take a first action based on the first flag.

Abstract: Devices, systems, and methods are provided for radar elevation angle validation. A radar elevation angle validation device transmit, from a radar, one or more signals towards a corner reflector situated in a direction of the radar. The radar elevation angle validation device may receive, at the radar, reflected signals from the corner reflector. The radar elevation angle validation device may measure signal energy of at least one of the reflected signals. The radar elevation angle validation device may access a baseline dataset based on the measured signal energy. The radar elevation angle validation device may retrieve a radar elevation angle from the baseline dataset corresponding to the measured signal energy. The radar elevation angle validation device may compare the radar elevation angle to a validation threshold. The radar elevation angle validation device may determine a radar validation status based on the comparison.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for pre-blinding light detectors. An example method may include sending, by a processor of a LIDAR system and at a first time, a signal to a light source of the LIDAR system, the signal causing the light source to provide a light input to a photodetector of the LIDAR system, wherein the light input to the photodetector causes the photodetector to initiate a recovery period. The example method may also include emitting, by a laser of the LIDAR system, a first light pulse into an environment at a second time. The example method may also include receiving, by the photodetector, return light associated with the first light pulse from an object in the environment, the return light reaching the photodetector at a third time, the third time being after the photodetector has ended the recovery period.

Abstract: Devices, systems, and methods are provided for an enhanced anechoic chamber. An enhanced anechoic chamber device may operate a gimbal setup attached to a mounting arm of an anechoic chamber and a radar under test to modify an azimuth angle and an elevation angle of a radar under test. The enhanced anechoic chamber device may cause the radar under test to transmit one or more signals towards one or more reflectors situated in a field of view of the radar through an aperture of an anechoic chamber, wherein the one or more reflectors are situated outside the anechoic chamber. The enhanced anechoic chamber device may receive reflected signals from the one or more reflectors at the radar under test, wherein the reflected signals pass through the aperture before reaching the radar under test. The enhanced anechoic chamber device may measure signal energy of at least one of the reflected signals. The enhanced anechoic chamber device may generate an output indicating an operational status of the radar under test.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. A device may capture a first image of a target using a camera, wherein the camera is in a clean state, and wherein the target is in a line of sight of the camera. The device may apply an obstruction to a portion of a lens of the camera. The device may apply a camera cleaning system to the lens of the camera. The device may capture a post-clean image after applying the camera cleaning system. The device may determine a post-clean SSIM score based on comparing the post clean image to the first image. The device may compare the post-clean SSIM score to a validation threshold. The device may determine a validation state of the camera cleaning system based on the comparison.

Abstract: Devices, systems, and methods are provided for reducing electrical and optical crosstalk in photodiodes. A photodiode may include a first layer with passive material, the passive material having no electric field. The photodiode may include a second layer with an absorbing material, the second layer above the first layer. The photodiode may include a diffused region with a buried p-n junction. The photodiode may include an active region with the buried p-n junction and having an electric field greater than zero. The photodiode may include a plateau structure based on etching through the second layer to the first layer, the etching performed at a distance of fifteen microns or less from the buried p-n junction.