An apparatus for alarming of oil dilution may include: a control device for predicting oil dilution based on a cold start state of a vehicle, a rapid acceleration state of a vehicle, and a high-speed maintenance time of a vehicle; and an alarming device that guides the driver to check or replace engine oil based on the oil dilution predicted by the control device.

This application is directed to on-vehicle behavior modeling of vehicles. A vehicle has one or more processors, memory, a plurality of sensors, and a vehicle control system. The vehicle collects training data via the plurality of sensors, and the training data include data for one or more vehicles during a collection period. The vehicle locally applies machine learning to train a vehicle driving behavior model using the collected training data. The vehicle driving behavior model is configured to predict a behavior of one or more vehicles. The vehicle subsequently collecting sensor data from the plurality of sensors and drives the vehicle by applying the vehicle driving behavior model to predict vehicle behavior based on the collected sensor data. The vehicle driving behavior model is configured to predict behavior of an ego vehicle and/or a distinct vehicle that appears near the ego vehicle.

A method for operating a support system for preventing a motor vehicle from being left stranded due to a lack of drive energy is disclosed. The, wherein the motor vehicle has at least one driver assistance system and an internal combustion engine, which is operated with fuel as a first energy source of drive energy, and/or an electric motor, which is operated with electric energy of a battery as a second source of drive energy. The motor vehicle is autonomously driven to a charging and/or filling location using a vehicle system, which is designed to guide the motor vehicle in a fully automatic manner, when an emergency criterion is met which is constantly evaluated during an operational phase of the motor vehicle, and indicates to the driver that the motor vehicle will be left stranded if a charging and/or filling process is not carried out.

A method is provided for showing a target vehicle opening fore zone for a potential, future vehicle user (220) of an automated vehicle (200) by a control device, wherein the potential, future vehicle user of the automated vehicle is detected outside of the automated vehicle, and the automated vehicle marks the target vehicle opening fore zone for the potential, future vehicle user during the travel to the potential, future vehicle user before a stopping position (250) is reached.

A predictive driver intention to stop (DITS) system for a vehicle having an engine includes one or more sensors configured to measure a set of operating parameters of the vehicle including at least (i) vehicle speed and (ii) vehicle deceleration rate. A controller is configured to identify no-stop braking events and complete stop braking events, and reference a generated baseline probability table indicating a probability of a driver braking to bring the vehicle to a stop, based on at least the vehicle speed and vehicle deceleration rate measured during at least one of the identified no-stop braking events and complete stop braking events. The controller is further configured to predict a DITS event based on the generated baseline probability table, and control operation of the engine based on the predicted DITS event to facilitate reducing vehicle fuel consumption and/or tailpipe emissions.

A processor unit (3) is configured for accessing speed data of a second vehicle (18), the speed data generated by a sensor of a first vehicle (1). The processor unit is also configured for creating a driving behavior profile of the second vehicle (18) based on the speed data and making a prediction about the future driving behavior of the second vehicle (18) based on the driving behavior profile of the second vehicle (18). Moreover, the processor unit is configured for determining a trajectory for the first vehicle (1) by executing an MPC algorithm, which includes a longitudinal dynamic model of the first vehicle and a cost function, such that the cost function is minimized. The prediction about the future driving behavior of the second vehicle (18) is taken into account in the determination of the trajectory.

Techniques are disclosed for creating and presenting a graphical user interface for display of autonomous vehicle behaviors. The techniques include determining a trajectory of a vehicle operating in a real-world environment. Sensors of the vehicle obtain sensor data representing an object in the real-world environment. A maneuver of the vehicle to avoid a collision with the object is predicted based on the sensor data and the trajectory of the vehicle. It is determined that a passenger comfort level of a passenger riding in the vehicle will decrease based on the maneuver of the vehicle. The passenger comfort level is measured by passenger sensors of the vehicle. A graphical user interface is generated including representations of the vehicle, the object, and a graphic, text, or a symbol alerting the passenger of the predicted maneuver. The graphical user interface is transmitted to a display device of the vehicle.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

The information processing device (100) includes a storing unit (120) that stores parameter information (D1) concerning parameters used for detection of the surrounding environment of a mobile body (500) and a setting unit (132) that sets, based on dynamic information (a dynamic map D100) detected outside the mobile body (500) and the parameter information (D1), the parameters used for the detection of the surrounding environment of the mobile body (500).

A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.