Techniques for controlling photodetector systems are disclosed. In one particular embodiment, the techniques may be realized as a system for controlling a photodetector. The system may comprise one or more processors and memory storing instructions that, when executed by the one or more processors, cause the system to: receive a target value; receive an output from the photodetector; generate, based at least on the target value, a bias signal; and apply the bias signal to the photodetector to drive a parameter of the photodetector to the target value.

Provided is a non-mechanical-scanning-type optical radar apparatus that is capable of long distance measurement and its cost is reduced. The optical radar apparatus includes: a light emitting section; and a light receiving system, the light receiving system at least including a focusing optical element and a distance sensor that includes a light receiver, the target field of view being projected on the light receiver through the focusing optical element, the distance sensor being configured to set an activation region in a part of the light receiver depending on the scanning with the light and measure a distance to the object with use of a signal from the activation region.

Provided is a non-mechanical-scanning-type optical radar apparatus that is capable of long distance measurement and its cost is reduced. The optical radar apparatus includes: a light emitting section; and a light receiving system, the light receiving system at least including a focusing optical element and a distance sensor that includes a light receiver, the target field of view being projected on the light receiver through the focusing optical element, the distance sensor being configured to set an activation region in a part of the light receiver depending on the scanning with the light and measure a distance to the object with use of a signal from the activation region.

Aspects of the present disclosure relate to depth sensing using a device. An example device includes a light projector configured to project light in a first and a second distribution. The first and the second distribution include a flood projection when the device operates in a first mode and a pattern projection when the device operates in a second mode, respectively. The example device includes a receiver configured to detect reflections of light projected by the light projector. The example device includes a processor connected to a memory storing instructions. The processor is configured to determine first depth information based on reflections detected by the receiver when the device operates in the first mode, determine second depth information based on reflections detected by the receiver when the device operates in the second mode, and resolve multipath interference (MPI) using the first depth information and the second depth information.

A beam generating device includes a semiconductor substrate, having an optical passband. A first array of vertical-cavity surface-emitting lasers (VCSELs) is formed on a first face of the semiconductor substrate and are configured to emit respective laser beams through the substrate at a wavelength within the passband. A second array of microlenses is formed on a second face of the semiconductor substrate in respective alignment with the VCSELs so as to transmit the laser beams generated by the VCSELs. The VCSELs are configured to be driven to emit the laser beams in predefined groups in order to change a characteristic of the laser beams.

A collision mitigation system makes use of ladar sensors to identify obstacles and to predict unavoidable collisions therewith, and a duplex radio link in communication with secondary vehicles, and a number of external airbags deployable under the control of an airbag control unit, to reduce the forces of impact on the host vehicle, secondary vehicles, and bipeds and quadrupeds wandering into the roadway. A suspension modification system makes use of ladar sensors to identify road hazards, and make adaptations to a number of active suspension components, each with the ability to absorb shock, elevate or lower the vehicle, and adjust the spring rate of the individual wheel suspensions.

A collision mitigation system makes use of ladar sensors to identify obstacles and to predict unavoidable collisions therewith, and a duplex radio link in communication with secondary vehicles, and a number of external airbags deployable under the control of an airbag control unit, to reduce the forces of impact on the host vehicle, secondary vehicles, and bipeds and quadrupeds wandering into the roadway. A suspension modification system makes use of ladar sensors to identify road hazards, and make adaptations to a number of active suspension components, each with the ability to absorb shock, elevate or lower the vehicle, and adjust the spring rate of the individual wheel suspensions.

A measuring device can have a scanning functionality for optical surveying of an environment, wherein the measuring device has a sensor comprising an assembly of microcells as a receiving surface and direction-dependent active sections of the receiver are defined depending on the transmission direction of the transmitted radiation, in order to adapt the active receiver surface to a varying imaging position of the received radiation.

An optical measuring device having a base for placing the measuring device and a targeting unit that is rotatable with respect to the base and defines a target axis for targeting a target object that is to be measured. The targeting unit has a first beam path for emitting optical measurement radiation in the direction of the target object that is to be measured. The targeting unit furthermore has a diffractive optical element (DOE), which is arranged or arrangeable in the beam path such that the optical measurement radiation is homogenized.

Sensors, including time-of-flight sensors, may be used to detect objects in an environment. In an example, a vehicle may include a time-of-flight sensor that images objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. Sensor data generated by the time-of-flight sensor can return unreliable pixels, e.g., in the case of over- or under-exposure. In some examples, parameters associated with power of a time-of-flight sensor can be altered based on a number of unreliable pixels in measured data and/or based on intensity values of the measured data. For example, unreliable pixels can be determined using phase frame information captured at a receiver of the sensor.