The present disclosure relates to systems, vehicles, and methods for adjusting a pointing direction and/or a scanning region of a lidar. An example method includes determining a plurality of points of interest within an environment of a vehicle. The method also includes assigning, to each point of interest of the plurality of points of interest, a respective priority score. The method additionally includes partitioning at least a portion of the environment of the vehicle into a plurality of sectors. Each sector of the plurality of sectors includes at least one point of interest. For each sector of the plurality of sectors, the method includes adjusting a scanning region of a lidar unit based on the respective sector and causing the lidar unit to scan the respective sector.

In one embodiment, a lidar system includes a light source configured to emit local-oscillator light and pulses of light, where each emitted pulse of light is (i) coherent with a corresponding portion of the local-oscillator light and (ii) includes a spectral signature of one or more different spectral signatures. The lidar system also includes a receiver configured to detect the local-oscillator light and a received pulse of light, the received pulse of light including light from one of the emitted pulses of light scattered by a target located a distance from the lidar system, the one of the emitted pulses of light including a particular spectral signature of the one or more spectral signatures. The local-oscillator light and the received pulse of light are coherently mixed together at the receiver. The receiver includes one or more detectors and a frequency-detection circuit.

An aerial system, including a processing system, an optical system, an actuation system and a lift mechanism, includes an autonomous photography and/or videography system 70, implemented, at least in part, by the processing system 22, the optical system 26, the actuation system 28 and the lift mechanism 32. The autonomous photograph and/or videography system performs the steps of establishing a desired flight trajectory, detecting a target, controlling the flight of the aerial system as a function of the desired flight trajectory relative to the target using the lift mechanism and controlling the camera to capture pictures and/or video.

Techniques for detecting an object in an environment and determining a probability that the object is a cloud of particulate matter. The cloud of particulate matter may include steam (e.g., emitted from a man-hole cover, a dryer exhaust port, etc.), exhaust from a vehicle (e.g., car, truck, motorcycle, etc.), environmental gases (e.g., resulting from sublimation, fog, evaporation, etc.), a cloud of dust, water splashing, blowing leaves, or other types of particulate matter that may be located in the environment of the vehicle and may not impact driving behavior (e.g., an autonomous vehicle may safely pass through the particulate matter without impact to the platform). A vehicle computing system may determine the probability that the object is a cloud of particulate matter and may control the vehicle based on the probability.

Techniques for detecting an object in an environment and determining a probability that the object is a cloud of particulate matter. The cloud of particulate matter may include steam (e.g., emitted from a man-hole cover, a dryer exhaust port, etc.), exhaust from a vehicle (e.g., car, truck, motorcycle, etc.), environmental gases (e.g., resulting from sublimation, fog, evaporation, etc.), a cloud of dust, water splashing, blowing leaves, or other types of particulate matter that may be located in the environment of the vehicle and may not impact driving behavior (e.g., an autonomous vehicle may safely pass through the particulate matter without impact to the platform). A vehicle computing system may determine the probability that the object is a cloud of particulate matter and may control the vehicle based on the probability.

A method for operating a sensor device for detecting an object, having a first surroundings sensor and a second surroundings sensor for detecting a surroundings of the sensor device, including detecting a surroundings of the sensor device using the first surroundings sensor to ascertain first surroundings data, the second surroundings sensor being deactivated; ascertaining whether the first surroundings data are sufficient to be able to conclude with a predetermined probability whether an object is located in the surroundings; if the first surroundings data are sufficient, ascertaining whether an object is located in the surroundings, based on the first surroundings data; if the first surroundings data are not sufficient, activating the deactivated second surroundings sensor; detecting the surroundings of the sensor device using the second surroundings sensor to ascertain second surroundings data; ascertaining whether an object is located in the surroundings, based on the second surroundings data.

To provide a ranging device having improved quantum efficiency and resolution. The present disclosure provides a ranging device including: a semiconductor layer having a first surface and a second surface opposite to the first surface; a lens on the second surface side; first and second charge storage sections in the semiconductor layer on the first surface side; a photoelectric conversion section that is in contact with the semiconductor layer on the first surface side, the photoelectric conversion section including a material different from a material of the semiconductor layer; first and second voltage application sections that apply a voltage to the semiconductor layer between the first and second charge storage sections and the photoelectric conversion section; and a waveguide provided in the semiconductor layer so as to extend from the second surface to the photoelectric conversion section, the waveguide including a material different from the material of the semiconductor layer.

The present invention extends to methods, systems, and computer program products for detecting hazards in anticipation of opening vehicle doors. Vehicle sensors (e.g., rear viewing cameras) can be used to detect and classify traffic, for example, as pedestrians, bicyclists, skateboarders, roller skaters, wheel chair, etc., approaching on the side of a vehicle. When there is a possibility of a vehicle occupant opening a door into approaching traffic, a warning can be issued in the vehicle cabin to alert vehicle occupants of the approaching traffic. In one aspect, a vehicle prevents a door from opening if opening the door would likely cause an accident.

Systems and method are provided for controlling a vehicle. In one embodiment, a vehicle includes: an imaging device, a ranging device, a data storage element to maintain calibration data associated with a relationship between the imaging device and the ranging device, one or more actuators, and a controller. The controller obtains image data from the imaging device, classifies portions of the image data as ground, obtains ranging data from the ranging device, identifies a ground subset of the ranging data corresponding to the portions of the image data using the calibration data; and operates the one or more actuators onboard the vehicle in a manner that is influenced by the ground subset of the ranging data.

A waveguide assembly, an integrated chip, and a LiDAR are provided. The waveguide assembly includes a plurality of single-mode waveguides arranged with intervals. The effective refractive index of at least one single-mode waveguide is not equal to that of another adjacent single-mode waveguide.