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.

There is provided a system for adapting parameters of a vehicle for reduction of likelihood of an adverse event, comprising: hardware processor(s) executing a code for: performing, for each respective driver of multiple drivers: obtaining an indication of a vehicle driven by the respective driver, obtaining an indication of a certain advanced driver assistance system (ADAS) selected from multiple ADAS for installation in the vehicle, obtaining an environmental profile indicative of a prediction of an environment in which the vehicle with installed ADAS is predicted for driving therein at a future time interval, defining a simulation model in which the vehicle with installed ADAS is driving according to the environment profile, computing a risk of an adverse event during the future time interval by executing the simulation model, and selecting parameter(s) of the vehicle for adaptation thereof according to a predicted likelihood of reducing the risk of the adverse event.

A combined slip based driver command interpreter for a vehicle is provided which may be communicatively coupled to a steering wheel angle sensor, an acceleration pedal position sensor and a brake pedal position sensor, the combined slip based driver command interpreter including, but not limited to a memory configured to store a non-linear combined lateral slip model and a non-linear combined longitudinal slip model, and a processor, the processor configured to determine a driver's intended vehicle lateral velocity and a driver's intended vehicle yaw rate based upon the angle of the steering wheel, the position of the acceleration pedal, the position of the brake pedal, a longitudinal velocity of the vehicle, the non-linear combined lateral slip model and the non-linear combined longitudinal slip model.

A method for assisting a transportation vehicle occupant located in a transportation vehicle wherein user information regarding the behavior and/or the state of a transportation vehicle occupant and transportation vehicle parameters of the transportation vehicle are gathered. The gathered user information and transportation vehicle parameters are combined and jointly analyzed and at least one behavior pattern of the transportation vehicle occupant is determined from the jointly analyzed user information and transportation vehicle parameters. The behavior pattern is stored together with the user information. In a subsequent gathering of user information, this user information is compared with the user information behavior pattern previously stored. When there is conformance with the behavior pattern, a transportation vehicle function is automatically carried out.

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.

Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range while preventing the unnecessary downshifts. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption model that provide input to nonlinear model predictive controller.

A selection for a shared vehicle is received. Whether the shared vehicle is in view of a user device camera is determined. At least one of directions to the shared vehicle are provided to the user device. Data of the shared vehicle are identified.

A control system for providing a yaw moment control action is provided. The control system comprises a command interpreter and a control segment. The command interpreter is configured to generate desired current vehicle states, when a vehicle is driven manually, wherein the current vehicle states comprise a target yaw rate state and a target lateral velocity state. The command interpreter is further configured to generate a desired states vector, when the vehicle is driven autonomously, using vehicle path planning instructions, wherein the desired states vector comprises current and future ideal yaw rate and lateral velocity states. The control segment is configured to generate a yaw moment control action using the desired current vehicle states when the vehicle is driven manually and generate a yaw moment control action using the desired states vector when the vehicle is driven autonomously.

AVs can communicate with humans for operational behaviors of the AVs. An AV behavior may be detected and classified as an undesirable AV behavior that would cause a negative sentiment of a person based on information of the AV behavior, information of the person, or both. The person may be a passenger of the AV or a person outside the AV. A message including information of the AV behavior is generated. The message includes information that can improve the person's sentiment or improve the performance (e.g., safety, passenger comfort, etc.) of the AV. The message may include one or more options for the person to provide feedback on the AV behavior. The person's feedback can be used to improve a classification model used to classify the AV behavior. The message may also include an option for the person to modify a ride provided by the AV to the person.

A vehicle hitch detection system is provided. The vehicle hitch detection system includes a camera arranged to capture images of a vehicle hitch and a controller processing the images to detect a powered hitch ornament connected to the hitch based on the processed images when an electrical hitch connection is detected. The controller may further control a driver assistance system based on the detected hitch ornament to enable or disable the system.