Systems, apparatus, methods, and techniques for an ego vehicle to respond to detecting misbehaving information from remote vehicles are provided. An ego vehicle, in addition to reporting misbehaving vehicles to a misbehavior authority via a vehicle-to-anything communication network, can, take additional actions based in part on how confident the ego vehicle is about the evidence of misbehavior. Where the confidence is high the ego vehicle can simply discard the misbehaving data and provide an alternative estimate for such data from alternative sources. Where the confidence is not high the ego vehicle can request assistance from neighboring vehicles and roadside units to provide independent estimates of the data to increase confidence in the evidence of misbehavior.

A method for selecting a driving profile of a motor vehicle, a driver assistance system therefor and a motor vehicle equipped therewith is disclosed. In the method and based on an operating action by a driver, a deviation between the number of predetermined driving profiles currently desired by the driver and that previously used is recognized. After the deviation has been recognized, a query is output to the driver as to whether the deviation should be taught by the driver assistance system for the current situation. After the query has been confirmed by the driver, the driver assistance system is accordingly adapted for the current situation in at least one parameter influencing the selection of the driving profile to be used such that the deviation in the automatic selection of the driving profile to be used in future situations that correspond to the current situation is taken into account.

The invention relates to a system and method for assisting a driver in driving a vehicle. First information on an environment of the vehicle is obtained and an instruction from the vehicle driver is received. An evaluation task defining an aspect of a current traffic situation encountered by the vehicle and to be evaluated is defined from the received instruction. An evaluation of the obtained information according to the evaluation task is performed, and an evaluation result is generated. Other aspects of the traffic situation and their relation to the aspect defined in the task are then evaluated additionally. Finally an information on the basis of the evaluation result and the other determined aspects is generated and output.

A control system 9 according to the present invention is mounted on a moving object. The control system 9 includes: an observing device 92 which transmits observation result data indicating an observation result of surroundings of the moving object; a first control instruction device 91 which transmits first control data indicating the control contents determined based on the observation result data; a movement control device 93 which controls movement of the moving object; and a relay device 95 which relays the first control data transmitted from the first control instruction device 91, to the movement control device 93. When a second control instruction device 94 which transmits second control data indicating the control contents determined based on the observation result data is provided to the control system 9, the relay device 95 transmits the second control data instead of the first control data, to the movement control device 93.

A computer in a vehicle is configured to operate the vehicle in at least one of an autonomous and a semi-autonomous mode. The computer is further configured to detect at least one condition of a roadway being traveled by the vehicle, the condition comprising at least one of a restricted lane, a restricted zone, a construction zone, and accident area, an incline, a hazardous road surface. The computer is further configured to determine at least one autonomous action based on the condition, the at least one autonomous action including at least one of altering a speed of the vehicle, controlling vehicle steering, controlling vehicle lighting, transitioning the vehicle to manual control, and controlling a distance of the vehicle from an object.

A vehicle that provides an advanced driver assistance system (ADAS) recommendation function and a method of controlling the vehicle are provided. The vehicle includes a collection unit that is configured to collect behavior information of a driver and a controller that is configured to determine an advanced driver assistance system (ADAS) mode recommendable to the driver based on the collected behavior information and to output the determined ADAS mode.

A system and method for dynamically managing application loads on a vehicle includes: receiving a plurality of distinct application requests; for each one application request, identifying expected computing resource expenditure data based on one or more attributes of each one application request; and identifying current state data for each of a plurality of computing resources of the vehicle based on an expected utilization of each of the plurality of computing resources for fulfilling each one application request; dynamically generating an execution schedule for executing a subset of or each of the plurality of distinct application requests based on (1) the expected computing resource expenditure data for each one application request and (2) the current state data for each of the plurality of computing resources of the vehicle; and executing the subset of or each of the plurality of distinct application requests based on the execution schedule.

A vehicle controller includes: an engine controller configured to perform an IS control upon satisfaction of a predetermined stop condition and an engine restart control upon satisfaction of a predetermined restart condition; an HDC controller configured to perform, when the vehicle is traveling on a downhill road and a deceleration request according to an HDC control occurs, a target vehicle speed-based deceleration irrespective of brake operations by the driver; and an information acquisition part configured to acquire progress status information related to the engine restart control and including information on initiation and completion thereof. When an engine restart request according to the IS control and the deceleration request according to the HDC control occur in a temporally overlapping manner, while the engine controller performs the engine restart control in a prioritized manner, the HDC controller allows performing the target vehicle speed-based deceleration on the basis of the progress status information.

A method of monitoring a driver in an autonomous vehicle includes monitoring, with a driver monitoring system, a driver of a vehicle, collecting, with a data processor, data from the driver monitoring system related to gaze behavior of the driver, classifying, with the data processor, the driver as one of a plurality of driver statuses based on the data from the driver monitoring system, and sending, with the data processor, instructions to at least one vehicle system based on the classification of the driver.

The subject disclosure relates to techniques for minimizing damage for collisions including an autonomous vehicle. A process of the disclosed technology can include predicting that a crash involving the autonomous vehicle is imminent, altering at least one operational parameter of the autonomous vehicle after predicting the crash is imminent, performing a first simulation on the autonomous vehicle, wherein the first simulation is a simulation of the autonomous vehicle taking a first action to minimize damage from the crash, and generating a first damage estimate for the first simulation.