ADAS designed to assist a driver of a motor-vehicle in low meteorological visibility conditions, in particular with fog, comprising a sensory system comprising a front vision system arranged on the motor-vehicle to monitor an environment in front of the motor-vehicle and comprising one or different first front cameras designed to operate in the electromagnetic spectrum visible to the human eye, and one or different second front cameras designed to operate in the electromagnetic spectrum invisible to the human eye; and electronic processing resources communicatively coupled to the sensory system to receive and process outputs of one or more of the automotive front cameras to determine a meteorological visibility in front of the motor-vehicle and assist the driver of the motor-vehicle based on the meteorological visibility in front of the motor-vehicle. Assisting the driver of the motor-vehicle comprises differentially controlling operation(s) of one or different automotive systems comprising an external lighting system, a user interface, and a cruise control system based on the meteorological visibility in front of the motor-vehicle. Assisting the driver of the motor-vehicle further comprises visually assisting the driver of the motor-vehicle via the user interface by displaying on at least one automotive display thereof either a video streaming of an automotive front camera or a virtual depiction of an environment in front of or surrounding the motor-vehicle computed based on information from the sensory system.

Provided is a vehicle including a curtain device; an inputter; a communicator configured to recognize current position information; and a processor configured to determine whether a current position is a position before entering a tunnel based on the current position information and map information, and upon determining that the current position is the position before entering the tunnel, control to open the curtain device, and configured to, in response to a selection command of an automatic light on/off mode for automatically turning on a lamp being received through the inputter, change an opening/closing mode of the curtain device to an automatic opening/closing mode, and upon the lamp being in an on-state, control opening of the curtain device.

Systems and methods are provided for calibrating vehicle sensors while a vehicle is being transported from one location to another. In particular, instead of using a dedicated calibration facility, systems and methods are provided for using mapped features to perform extrinsic sensor calibration while transporting the vehicle on an open-bed truck, train, or other open-bed vehicle hauler. During transport, a known distance between the vehicle sensor and a mapped target is determined, and compared to a measured distance between the vehicle sensor and the mapped target. The vehicle sensor is calibrated based on the comparison.

In one embodiment, during a planning stage of autonomous driving of an autonomous driving vehicle (ADV), it is determined that the ADV needs to change lanes from a source lane to a target lane. A first trajectory is generated from a current location of the ADV in the source lane to the target lane such as a center line of the target lane. A lane shifting correction is then calculated based on the lane configuration of at least the source lane and/or target lane, as well as the current state of the ADV. Based on the lane shifting correction, at least the starting point of the first trajectory is modified, which in turn generates a second trajectory. In one embodiment, the starting point of the first trajectory is shifted laterally with respect to a heading direction of the source lane based on the lane shifting correction.

A method for operating a sensor device for determining a road condition. Beams of at least one beam source are generated and emitted into a scanning area. Beams that are scattered or reflected back from the scanning area are ascertained by at least one detector and evaluated for determining the road condition with the aid of the control unit coupled to the detector. Temperature-dependent influences on at least one component of the sensor device are ascertained with the aid of at least one sensor. The temperature-dependent influences on the component of the sensor device are compensated for by a heating device and/or a cooling device and/or during the evaluation by the control unit. A control unit and a computer program are also described.

A method of predictive navigation control for an ego vehicle includes: comparing a cue node to each of a plurality of episodic memory nodes in an episodic memory structure, wherein the cue node represents a new event representing distances, speeds and headings of one or more newly observed objects about the ego vehicle, and wherein the episodic memory structure includes a network of nodes each representing a respective previously existing event and having a respective node risk and likelihood; determining which of the nodes has a smallest respective difference metric, thus defining a best matching node; consolidating the cue node with the best matching node if the smallest difference metric is less than a match tolerance, else adding a new node corresponding to the cue node to the episodic memory structure; and identifying a likeliest next node and/or a riskiest next node.

A method for generating navigation data for a vehicle using a vehicle and a navigation device, said vehicle comprising a set of sensors, said method comprising the steps of: travelling along a road, detecting at least one landmark, determining if said at least one landmark has a shape correlating to the main direction of said road. Approving the at least one landmark as a landmark for landmark navigation or approving an associated section of the road for landmark navigation.

An infrared thermal camera can be installed in a vehicle, such as a car, to provide different capabilities including night vision, passenger temperature monitoring, liveness detection, and avoidance of collisions with animals. The camera may be located inside the vehicle facing outwards through the front windshield. The camera may be used in multiple modes. In a first mode, the camera may be used to provide night vision or other thermal imaging of a scene outside the vehicle using a first field of view. In a second mode, the camera may be used to provide thermal imaging of a scene at least partially inside the vehicle using a second field of view, which may be useful, for example, for scanning the skin temperatures of occupants.

A method of inspecting a road for substances includes generating a flash of infra-red light at a wavelength to illuminate a portion of the road. The wavelength corresponds to an absorption wavelength of a substance to be detected. The method further includes, in response to a difference in backscatter intensity of an image of the portion captured during the flash and an image of the portion captured before or after the flash being greater than a threshold amount, outputting a signal indicating presence of the substance on the portion.

A method of performing lane detection without the use of a frame buffer may include capturing image frames with an image sensor in a vehicular imaging system. Feature extraction circuitry in the vehicular imaging system may analyze a frame to detect features corresponding to possible lane markers. The features may be extracted and stored in memory for further processing, while the rest of the frame may not be stored in memory and may not undergo further processing. Processing circuitry may perform a first estimation of lane marker location based on a continuous feature that is present in multiple different image frames and may perform a second estimation of lane marker location based on multiple features in a single image frame that form a connected feature. The processing circuitry may determine the presence of a lane marker based on the continuous feature and the connected feature.