A method for analyzing backscatter histogram data in an optical pulse runtime method, including the steps of receiving backscatter histogram data; and analyzing the received backscatter histogram data.

Provided are a light receiving device, a light receiving circuit, and a distance measuring device capable of minimizing dead time.

A light receiving device according to the present disclosure may include: a light receiving circuit including a light receiving element; a power supply circuit configured to supply a power supply potential to the light receiving circuit; and a control circuit configured to control the power supply potential supplied by the power supply circuit on the basis of a signal output from the light receiving circuit in a reaction with a photon.

The present technology relates to an observation apparatus, an observation method, and a distance measurement system capable of improving distance measurement accuracy. A first measurement unit that measures a first number of reactions of a light receiving element in response to incidence of photons on a first pixel, a second measurement unit that measures a second number of reactions of the light receiving element in response to incidence of photons on a second pixel, a light emitting unit that emits light to the second pixel, and a light emission control unit that controls the light emitting unit according to a difference between the first number of reactions and the second number of reactions are included. The present technology can be applied to, for example, a distance measurement apparatus that measures a distance to a predetermined object, and can be applied to an observation apparatus that observes a characteristic of a pixel included in the distance measurement apparatus.

A computer-implemented method for predicting properties of a plurality of objects in a vicinity of a vehicle includes multiple steps that can be carried out by computer hardware components. The method includes determining a grid map representation of road-users perception data, with the road-users perception data including tracked perception results and/or untracked sensor intermediate detections. The method also includes determining a grid map representation of static environment data based on data obtained from a perception system and/or a pre-determined map. The method further includes determining the properties of the plurality of objects based on the grid map representation of road-users perception data and the grid map representation of static environment data.

The present application discloses a LiDAR and an autonomous driving vehicle. The LiDAR includes a rotary device, a laser transceiving assembly, and a reflecting assembly. The rotary device has a first rotary part and a second rotary part that are configured to rotate relative to each other around a rotary axis. The laser transceiving assembly is connected to the first rotary part and configured to emit an emergent laser beam and receive a reflected laser beam. The reflecting assembly is connected to the second rotary part and has at least two reflectors. The at least two reflectors are arranged around the rotary axis, and at least two of included angles between the reflectors and a plane perpendicular to the rotary axis are different. In the present application, the same reflector can reflect both the emergent laser beam and the reflected laser beam.

The present application discloses a LiDAR and an autonomous driving vehicle. The LiDAR includes a rotary device, a laser transceiving assembly, and a reflecting assembly. The rotary device has a first rotary part and a second rotary part that are configured to rotate relative to each other around a rotary axis. The laser transceiving assembly is connected to the first rotary part and configured to emit an emergent laser beam and receive a reflected laser beam. The reflecting assembly is connected to the second rotary part and has at least two reflectors. The at least two reflectors are arranged around the rotary axis, and at least two of included angles between the reflectors and a plane perpendicular to the rotary axis are different. In the present application, the same reflector can reflect both the emergent laser beam and the reflected laser beam.

A distance measurement apparatus of a scanning type provided with a two-dimensional micro electro mechanical system (MEMS) mirror that reflects a laser beam includes: a first detector that detects a mirror angle of the two-dimensional MEMS mirror and outputs an angular signal that indicates the mirror angle; and a processor that calculates an amplitude error and a phase error between amplitude and a phase of the angular signal and amplitude and a phase of a reference angle signal, and corrects a resonance drive waveform of a drive signal that drives, of two mutually orthogonal axes of the two-dimensional MEMS mirror, one axis on a resonance drive side on a basis of the amplitude error and the phase error.

A sensor chip includes a sensor pixel. The sensor pixel includes an avalanche photodetector. A circuit is adjacent to the avalanche photodetector. The circuit is coupled to the avalanche photodetector. An isolation structure at least partially encloses the circuit and is between the avalanche photodetector and the circuit.

An autonomous vehicle includes an array of sensors, a processor, and a switch. The array of sensors generate sensor data related to one or more objects in an external environment of the autonomous vehicle and the processor determines an environmental context. The switch transfers the sensor data from the array of sensors to the processor, where the switch is configured to: (a) receive first sensor data from a first sensor group of the array of sensors; (b) receive second sensor data from a second sensor group of the array of sensors; (c) determine an order of transmission of the first sensor data over the second sensor data in response to the environmental context; and (d) transmit the first sensor data to the processor prior to transmitting the second sensor data based on the order of transmission.

A system in a vehicle includes a lidar system to obtain lidar data in a lidar coordinate system, a camera to obtain camera data in a camera coordinate system, and processing circuitry to automatically determine an alignment state resulting in a lidar-to-vehicle transformation matrix that projects the lidar data from the lidar coordinate system to a vehicle coordinate system to provide lidar-to-vehicle data. The alignment state is determined using the camera data.