A method of detecting a lane line based on lidar data can include detecting, by a processor, points each estimated as a lane line in a lidar data, performing, by the processor, an estimation operation of estimating parameters of a mathematical model using the detected points, and performing, by the processor, a setting operation of calculating distances between each of the detected points and the mathematical model in which the parameters are estimated and setting the calculated distances as scores. The method can further include performing, by the processor, a summation operation of summing the scores, and setting, by the processor, the mathematical model determined according to the summation score as a lane line.

A system and a method for performing exchange of lidar datapoints between a lidar sensor and a host computing device are provided. The lidar sensor stores a sensor payload size range, and the host computing device stores a host payload size range. When the lidar connection is initiated, the host computing device and the lidar sensor perform handshaking to determine an overlapping range between the host sensor payload size range and the sensor payload size range, and to negotiate an acceptable datapoint payload size based on the overlapping range. Once the handshaking is complete, the lidar connection may be performed using the acceptable data point payload size as a payload size thereof. Thus, the payload size is independent of a maximum transmission unit (MTU) of an Ethernet.

The subject matter of this specification can be implemented in, among other things, systems and methods of optical sensing that utilize optimized processing of multiple sensing channels for efficient and reliable scanning of environments. The optical sensing includes multiple optical communication lines that include coupling portions configured to facilitate efficient collection of various received beams. The optical sensing system further includes multiple light detectors configured to process collected beams and produce data representative of a velocity of an object that generated the received beam and/or a distance to that object.

A position recognizing device according to one embodiments of the present disclosure includes a ranging point acquiring section, a region determining section, and a ranging point excluding section. The ranging point acquiring section is configured to acquire ranging point information in which distances to ranging points are associated with each of electromagnetic wave applying directions. The region determining section is configured to determine whether an object region that represents a region encompassed by joining ranging points that are in close proximity to one another exists at a position closer than a specific ranging point representing a certain ranging point among the ranging points. The ranging point excluding section is configured to define the ranging point in front of which the object region exists as a false image point at which no object actually exists and exclude the false image point from the ranging point information.

According to at least some example embodiments, a computer-readable medium stores computer-executable program instructions that, when executed by a processor, cause the processor to perform operations including, obtaining plane information of a plane by using first distances from a terminal to a plurality of points on the plane; obtaining a normal vector of the plane by using direction information of the terminal measured by a direction sensor and the plane information; determining, based on the normal vector, a parameter of an object to be displayed on the plane; and displaying, on a display of the terminal, the object according to the determined parameter.

A distance image generating device includes a light emitter that emits light pulses; a light receiver that includes light receiving elements and receives reflected light; a distance calculator that generates a distance image based on an amount of the reflected light; and a light amount adjuster that determines an emission count in accordance with which the light emitter is to emit the light pulses and an exposure count in accordance with which the light receiver is to receive the reflected light based on the distance image and causes the light emitter to emit the light pulses in accordance with the determined emission count and the light receiver to receive the reflected light in accordance with the determined exposure count. The distance calculator calculates the distance based on an amount of the reflected light received at the exposure count by the light receiver.

A ranging processing device includes: a four-phase ranging operation unit that performs an operation to calculate depth indicating a distance to an object by using all eight detection signals two of which are detected for each of irradiated light of first to fourth phases; a two-phase ranging operation unit that performs the operation to calculate the depth indicating the distance to the object by alternately using four detection signals based on the irradiated light of the first phase and the irradiated light of the second phase and four detection signals based on the irradiated light of the third phase and the irradiated light of the fourth phase among the eight detection signals; and a condition determination unit that makes condition determination based on the detection signals and switch between the four-phase ranging operation unit and the two-phase ranging operation unit to be used.

A transmitting unit of a LIDAR device includes at least two radiation sources for generating and emitting punctiform or linear electromagnetic beams into a scanning range, at least one of the radiation sources including an operating temperature settable as a function of an emission angle of the electromagnetic beams generated by the at least one radiation source. The different operating temperatures can generate beams having angle-dependent emission wavelengths, which can result in an improvement of the signal-to-noise ratio of a LIDAR device.

The present disclosure provides a laser projection component and a detection method thereof, and an electronic device. The laser projection component is applicable to the depth camera component and is configured to project a laser pattern. The detection method includes: obtaining the laser pattern; determining whether a preset identifier exists in the laser pattern; and determining that the depth camera component is abnormal when the preset identifier does not exist in the laser pattern.

A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.