Systems and methods for situational modification of autonomous vehicle operation are disclosed. According to aspects, a computing device may detect the occurrence of an emergency event and may determine a current operation of an autonomous vehicle that may be associated with the emergency event. The computing device may determine a modification to operation of the autonomous vehicle, where the modification may represent a violation of a roadway regulation that may enable effective handling of the emergency event. The computing device may generate a set of instructions for the autonomous vehicle to execute to cause the autonomous vehicle to undertake the operation modification.

Various teachings herein include a method of operating a vehicle comprising a combustion engine, an electric motor, and an electrically heated catalyst. The method includes: simultaneously evaluating energy consumption and emissions due to increasing or decreasing catalyst heating actions and due to increasing or decreasing electric motor torque based on an operating model; and determining an operating mode for each of the combustion engine, electric motor, and electrically heatable catalyst using the operating model to optimize operation based on an optimization goal.

The present invention obtains a rider-assistance system capable of appropriately assisting with driving by a rider of a straddle-type vehicle and a control method for such a rider-assistance system. The rider-assistance system that assists with driving by the rider of the straddle-type vehicle includes: a peripheral environment detector that is mounted to the straddle-type vehicle and detects peripheral environment of the straddle-type vehicle; an input device that is mounted to the straddle-type vehicle and is operated by the rider of the straddle-type vehicle; and a controller that governs operation of the rider-assistance system. The controller includes: an acquisition section that acquires pitch angle correction target information that is target information on pitch angle correction of the peripheral environment detector; and a correction operation performing section that performs correction operation for detection of the peripheral environment by the peripheral environment detector on the basis of the pitch angle correction target information acquired by the acquisition section.

A vehicle control system includes first and second traveling control units. Each control unit can perform traveling control of controlling driving, braking, and/or steering of a vehicle. The first and second traveling control units are communicably connected. The first traveling control unit performs the traveling control in a case in which a signal from the second traveling control unit can be confirmed, and performs third traveling control in a case in which the signal from the second traveling control unit cannot be confirmed.

A vehicle control system includes first and second traveling control units for performing traveling control of controlling driving, braking, and/or steering of a vehicle without depending on a driving operation of a driver. In a case in which control instructions concerning the same actuator conflict between the first traveling control unit and the second traveling control unit, the first traveling control unit arbitrate the control instructions.

A vehicular medical assistant configured to access a medical data store of interrelated diagnostic data, medical conditions, and mitigation actions. The vehicular medical assistant detects a medical event based on the medical data store and a set of data associated with the passenger. The set of data associated with the passenger can include biometric data, aural data, visual data, and environmental data. The vehicular medical assistant can implement a mitigation action in response to detecting the medical event. The mitigation action can include interacting with the passenger and/or modifying the vehicle.

The disclosure includes embodiments for modifying a performance of a vehicle component whose performance is affected by a vehicle fluid that is contaminated by water. A method according to some embodiments includes recording sensor data describing refractometry measurements for the vehicle fluid. The method includes determining contamination data that describes an amount of water present in the vehicle fluid. The method includes analyzing the contamination data to determine parameter data describing modifications for a set of parameters for an advanced driver assistance system (ADAS system) that control the operation of the ADAS system, wherein the parameter data is operable to update the set of parameters and thereby modify the operation of the ADAS system to compensate for the amount of water present in the vehicle fluid so that vehicle component performs as though the vehicle fluid is substantially not contaminated by water.

In some implementations, a method may include obtaining target fault data indicating a preselected fault for a vehicle having a hydrogen source. In addition, the method may include obtaining vehicle fault data indicating a fault of the vehicle. The method may include identifying a match between the fault and the preselected fault. Moreover, the method may include purging, in response to the identifying the match, hydrogen from the hydrogen source so as to reduce consequences of a battery thermal event by reducing the likelihood of a hydrogen-fueled fire.

A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.

A method for operating an automated motor vehicle includes: ascertaining a target trajectory for the motor vehicle, acquiring environmental data of the motor vehicle, ascertaining a tolerance region of the target trajectory based on the acquired environmental data, and guiding the motor vehicle in the tolerance region of the target trajectory in such a way that guidance of the motor vehicle with the smallest possible changes in acceleration and/or with energetically optimized propulsion is definedly more highly prioritized than definedly accurate guidance of the motor vehicle along the target trajectory.