Techniques are disclosed for real-time mapping in a movable object environment. A real-time mapping system can include at least an unmanned aerial vehicle (UAV), comprising a propulsion system, a main body coupled to the propulsion system and a payload assembly coupled to the main body via a payload port, wherein the payload assembly is configured to couple to the payload port and support a scanning sensor and a positioning sensor.

Techniques are disclosed for real-time mapping in a movable object environment. A real-time mapping system can include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The computing device can include at least one processor and a mapping manager, the mapping manager may be configured to obtain mapping data from the scanning sensor and obtain positioning data from the positioning sensor. The mapping manager can associate the mapping data with the positioning data based at least on time data associated with the mapping data and the positioning data, and then generate a map in a first coordinate system based at least on the associated mapping data and positioning data.

Techniques are disclosed for real-time mapping in a movable object environment. A real-time mapping system can include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The computing device can include at least one processor and a mapping manager, the mapping manager may be configured to obtain mapping data from the scanning sensor and obtain positioning data from the positioning sensor. The mapping manager can associate the mapping data with the positioning data based at least on time data associated with the mapping data and the positioning data, and then generate a map in a first coordinate system based at least on the associated mapping data and positioning data.

Laser light pulses of at least two different wavelengths are reflected off a scanning mirror. A first time-of-flight distance measurement circuit receives reflected light pulses of a first wavelength and determines distances. A second time-of-flight distance measurement circuit receives reflected light pulses of a second wavelength and determines distances. The timing of transmission of laser light pulses of differing wavelengths are adjusted, and the data buffering of converted return pulses are adjusted, to compensate for laser light source misalignment.

Laser light pulses of at least two different wavelengths are reflected off a scanning mirror. A first time-of-flight distance measurement circuit receives reflected light pulses of a first wavelength and determines distances. A second time-of-flight distance measurement circuit receives reflected light pulses of a second wavelength and determines distances. The timing of transmission of laser light pulses of differing wavelengths are adjusted, and the data buffering of converted return pulses are adjusted, to compensate for laser light source misalignment.

A vehicle including one or more sensors, a light detection and ranging (lidar) sensor and a lidar prediction system. The one or more sensors include an optical sensor, a radar sensor, or both, configured to capture sensor data of a particular view. The lidar sensor is configured to capture lidar data of the particular view. The lidar prediction system includes a predictive model. The lidar prediction system is configured to generate a predicted lidar frame comprising applying the predictive model to the sensor data and send the predicted lidar frame to an external system.

Techniques are disclosed for systems and methods to provide accurate and reliable target information when there is relative motion between a remote sensing system and the target. A remote sensing system includes a multichannel ranging sensor assembly and a controller. The ranging sensor assembly includes multiple sensor channels configured to emit modulated sensor beams towards a target and to detect corresponding reflected beams reflected from the target, where the modulated sensor beams are selected to be correlated to each other and mutually incoherent with respect to each other. The controller is configured to receive reflected beam sensor signals corresponding to the detected reflected beams, to determine Doppler components associated with the reflected beams based, at least in part, on the first and second reflected beam sensor signals, and to generate target information based, at least in part, on the determined Doppler components.

Techniques are disclosed for systems and methods to provide accurate and reliable target information when there is relative motion between a remote sensing system and the target. A remote sensing system includes a multichannel ranging sensor assembly and a controller. The ranging sensor assembly includes multiple sensor channels configured to emit modulated sensor beams towards a target and to detect corresponding reflected beams reflected from the target, where the modulated sensor beams are selected to be correlated to each other and mutually incoherent with respect to each other. The controller is configured to receive reflected beam sensor signals corresponding to the detected reflected beams, to determine Doppler components associated with the reflected beams based, at least in part, on the first and second reflected beam sensor signals, and to generate target information based, at least in part, on the determined Doppler components.

A light detection and ranging (LIDAR) controller is disclosed. The LIDAR controller may determine, based on a position of an implement, a scan area of the LIDAR sensor, wherein the scan area has an increased point density relative to another area of a field of view, of the LIDAR sensor, that includes the implement. The LIDAR controller may cause the LIDAR sensor to capture, with the increased point density, LIDAR data associated with the scan area. The LIDAR controller may process the LIDAR data to determine whether an object of interest is in an environment of the machine that is associated with the scan area. The LIDAR controller may perform an action based on the environment of the machine.

A light detection and ranging (LIDAR) controller is disclosed. The LIDAR controller may determine, based on a position of an implement, a scan area of the LIDAR sensor, wherein the scan area has an increased point density relative to another area of a field of view, of the LIDAR sensor, that includes the implement. The LIDAR controller may cause the LIDAR sensor to capture, with the increased point density, LIDAR data associated with the scan area. The LIDAR controller may process the LIDAR data to determine whether an object of interest is in an environment of the machine that is associated with the scan area. The LIDAR controller may perform an action based on the environment of the machine.