The present disclosure generally relates to autonomous commercial vehicles. In one aspect, the disclosure provides a method for controlling a commercial highway vehicle. The method includes detecting a failure of a first component based on a first signal from a first sensor. The method also includes classifying, by an automated driving system on the vehicle, a severity of the component failure. The method further includes determining to stop the vehicle if the severity exceeds a threshold severity level. The method also includes determining an emergency stopping distance based on the severity and a current momentum of the vehicle. The method further includes determining a stopping location within the emergency stopping distance. The method also includes stopping the vehicle at the stopping location. The present disclosure also provides an autonomous commercial vehicle and an emergency control system for performing the method.

A notification device (1) includes a sweep signal generator (3) that generates a sweep signal by changing the frequency of a predetermined wave at a constant speed in a frequency band which allows exciters (EX1, EX2, EX3, EX4) to generate a vibration, a sweep signal divider (4) that divides the sweep signal into a higher-band sweep signal in a higher-frequency band including an overlap frequency band and a lower-band sweep signal in a lower-frequency band including the overlap frequency band, a signal output determination unit (2) that determines from which exciters the higher-band sweep signal and lower-band sweep signal should be outputted, and an output signal adjuster (9) that makes an adjustment for outputting the higher-band sweep signal and lower-band sweep signal from the exciters determined.

A computer that includes a processor and memory that stores instructions executable by the processor. The instructions may include generating, at a host vehicle, a roadway friction map by: detecting a velocity change of a target vehicle; calculating friction data based on the velocity change; and storing the friction data.

The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

A notification device (1) includes a sweep signal generator (3) that generates a sweep signal by changing the frequency of a predetermined wave at a constant speed in a frequency band which allows exciters (EX1, EX2, EX3, EX4) to generate a vibration, a sweep signal divider (4) that divides the sweep signal into a higher-band sweep signal in a higher-frequency band including an overlap frequency band and a lower-band sweep signal in a lower-frequency band including the overlap frequency band, a signal output determination unit (2) that determines from which exciters the higher-band sweep signal and lower-band sweep signal should be outputted, and an output signal adjuster (9) that makes an adjustment for outputting the higher-band sweep signal and lower-band sweep signal from the exciters determined.

Systems and methods are provided for determining a road profile along a predicted path. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of an area in a vicinity of a user vehicle; a data interface; and at least one processing device configured to receive the plurality of images captured by the image capture device through the data interface; and compute a profile of a road along one or more predicted paths of the user vehicle. At least one of the one or more predicted paths is predicted based on image data.

Described herein is a vehicle system configured to identify and mitigate inappropriate driving behavior. In some embodiments, the vehicle system may receive input information from one or more input sensors. The vehicle system may identify driving behaviors related to a vehicle from the received input. The vehicle system may determine whether the driving behaviors are inappropriate in light of one or more conditions affecting the vehicle. Upon identifying inappropriate behavior, the vehicle system may generate a set of corrective actions capable of being executed to mitigate the inappropriate driving behavior.

A travel assistance device includes an actuator and an electronic control unit. The electronic control unit is configured to predict a future position of a vehicle and an object, set an assistance range around the vehicle, determine whether an avoidance start condition is satisfied and in which of a first roadway area, a second roadway area, and a sidewalk area the object is positioned, set the avoidance start condition and a movement range of the object, so that the avoidance start condition is more easily determined to be satisfied when the object is in the first roadway area than when the object is in the second roadway area, and more easily determined to be satisfied when the object is in the second roadway area than when the object is in the sidewalk area, and perform a collision avoidance operation when the avoidance start condition is satisfied.

A controller for an adaptive braking system on a host vehicle identifies a first target in a lane of travel of the host vehicle; monitors for an active braking intervention request; monitors for other targets in adjacent lanes of travel to the host vehicle; and transmits a first braking signal at the output to control a braking action at a first braking level in response to receiving the active braking intervention request and identifying no other targets in adjacent lanes of travel to the host vehicle. If the controller identifies a second target in an adjacent lane of travel, then receives a travel signal indicative of change in the direction of travel of the host vehicle toward the second target; it will transmit a second braking signal to control the braking action at a second braking level. The second level of braking is different than the first level of braking.

A control system for a vehicle includes a plurality of cameras, at least one radar sensor, and a control having at least one processor. Captured image data and sensed radar data are provided to the control. The control processes captured image data to detect objects present exteriorly of the vehicle and is operable to determine whether a detected edge constitutes a portion of a vehicle. The control processes sensed radar data to detect objects present exteriorly of the vehicle. The control, based at least in part on processing of (i) captured image data and/or (ii) sensed radar data, detects another vehicle and determines distance from the equipped vehicle to the detected other vehicle. The control, based at least in part on determination of distance from the equipped vehicle to the detected other vehicle, may control a steering system operable to adjust a steering direction of the equipped vehicle.