Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a slow reaction time, attention lapse and/or alertness of a driver. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The response system can modify the control of two or more systems simultaneously in response to driver behavior.

A target-lane relationship recognition apparatus mounted on a vehicle includes a sensor that detects a situation around the vehicle, a memory device in which a map data indicating a boundary position of a lane on a map is stored, and a processing device. The processing device is configured to: (a) acquire, based on the sensor detection result, target information regarding a moving target and a stationary target around the vehicle; (b) acquire, based on the map data and position-orientation of the vehicle, lane geometry information indicating a lane geometry around the vehicle; (c) adjust the lane geometry to generate an adjusted lane geometry satisfying a condition that the moving target is located within a lane and the stationary target is located outside of any lane; and (d) generate target-lane relationship information indicating a positional relationship between the moving target and the adjusted lane geometry.

Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a driver's slow reaction time, attention lapse and/or alertness. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The systems that may be modified include: visual devices, audio devices, tactile devices, antilock brake systems, automatic brake prefill systems, brake assist systems, auto cruise control systems, electronic stability control systems, collision warning systems, lane keep assist systems, blind spot indicator systems, electronic pretensioning systems and climate control systems.

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.

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.

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 computer-implemented method for braking control of a host vehicle includes detecting a panic brake operation based on a change of a braking pressure of a braking system of the host vehicle with respect to time. The method includes detecting a second vehicle driving behind the host vehicle and in the same lane as the host vehicle, and determining a time-to-collision value between the host vehicle and the second vehicle. Further, the method includes determining a deceleration rate of the host vehicle based on a driver braking pressure provided by operation of a brake pedal of the braking system. The method includes controlling the braking system based on the time-to-collision value and the deceleration rate.

A vehicle traveling control apparatus of the disclosure stops a friction force application and maintains a vehicle at a stopped state by an engagement lock when a first time elapses from a stop of the vehicle by a particular control. The apparatus stops the friction force application and maintains the vehicle at the stopped state by the engagement lock when a second time shorter than the first time elapses from the stop of the vehicle by a forced stop control which is executed when a driver is under an abnormal state.

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.

An overtaking lane control system in a vehicle comprises a lane determination unit to recognize road configuration; an obstacle monitoring unit to detect approaching vehicles in adjacent lanes; and an overtaking lane control unit to issue a first alert to a driver to warn the driver to return to a normal lane when the overtaking lane control unit determines that the vehicle has travelled in an overtaking lane for a first predetermined time and it is safe to change to the normal lane.