A navigation system for a host vehicle may include a processing device including circuitry and a memory storing instructions that when executed by the circuitry cause the at least one processing device to receive images acquired by a camera representative of an environment of the host vehicle, and analyze the images to identify a double merge scenario including a first flow of traffic and a second flows of traffic in a same direction that merge to form a merged flow of traffic in a merged lane. The instructions that when executed by the circuitry may further cause the processing device to cause a navigational change in the host vehicle based on a trajectory of a first target vehicle in the first flow of traffic and a trajectory of a second target vehicle in the second flow of traffic.

A computer-implemented method for controlling a vehicle. The method monitors one or more characteristics of one or more users within the vehicle, and compares the one or more characteristics of the one or more users with one or more corresponding baseline characteristics of the one or more users. The method further determines, based on the comparison, that a difference between the one or more characteristics and the one or more corresponding baseline characteristics of the one or more users exceeds a threshold value, and performs a controlling action associated with the vehicle, wherein the controlling action may be taking a higher level of autonomous control over the vehicle; varying speed and handling of the vehicle; and overriding the one or more characteristics of the one or more users in order to avoid an accident.

An apparatus for controlling autonomous parking and method thereof are provided. The apparatus for controlling autonomous parking according to an exemplary embodiment of the present disclosure a sensor unit for acquiring information around a host vehicle, a storage for storing driver's tendency information upon autonomous parking, and a controller communicatively connected to the sensor unit. Here, the controller is configured to: search for an available parking space based on the acquired information around the vehicle, determine whether the available parking space is next to a pillar, determine whether a passenger exists on the side of the pillar when parking in the available parking space, set a parking target position based on the driver's tendency information when the passenger gets off and set a parking longitudinal offset so that a door and a side mirror of the vehicle do not interfere with the pillar, and perform autonomous parking by varying the parking target position according to the offset set above.

A vehicle control system has a plurality of subsystem controllers including an engine management system 28, a transmission controller 30, a steering controller 48, a brakes controller 62 and a suspension controller 82. These subsystem controllers are each operable in a plurality of subsystem modes, and are all connected to a vehicle mode controller 98 which controls the modes of operation of each of the subsystem controllers so as to provide a number of driving modes for the vehicle. Each of the modes corresponds to a particular driving condition or set of driving conditions, and in each mode each of the functions is set to the function in mode most appropriate to those conditions.

A method is provided for automated application (10) of a driver assistance system that is configured to implement automated driving functions. At least one application parameter is assigned to each automated driving function (12). Factory settings preset both the application parameter and acceptable ranges for the application parameters that are consistent with safety-critical requirements. A control unit identifies a relevant driving scenario after an automated driving function (12) has been implemented during normal driving operation (13, 14). The control unit uses an objective grading model to evaluate (17) a performance of each implemented automated driving function while continuing execution during a normal driving operation (13, 14). The at least one respectively assigned application parameter is adapted (15), as a result of an optimization (11), on the basis of the evaluation (17) of the performance of the respectively implemented automated driving function (12).

Disclosed are a system and a method for limiting the maximum acceleration of a motor driven vehicle. The system and method can estimate an acceleration from a speed of a motor driven vehicle, and limit the maximum acceleration of the motor driven vehicle to a level to exert constant traveling performance regardless of the total weight of the vehicle and road gradient conditions using the estimated acceleration as a control variable for limiting the maximum acceleration, thereby improving the ride comfort and the fuel efficiency.

The disclosure includes embodiments for identifying an origin of abnormal driving behavior for improved vehicle operation. A method includes identifying an abnormal driving behavior of a driver of a vehicle at a time T. The method includes identifying a set of events that occurred within a predetermined time Δt before time T. The method includes executing, by a processor, a cause-and-effect analysis on the set of events to determine one or more events from the set of events that caused the abnormal driving behavior. The method includes executing a strategy to reduce the abnormal driving behavior so that vehicle operation is improved.

A method of automatically controlling vehicle auto-hold includes: collecting information on a vehicle traveling condition that applies when a driver operates a brake pedal while a vehicle is traveling; selecting learning data for learning on a pattern of a driver's operation from among pieces of the information collected in the collecting of the information on the vehicle traveling condition and storing the selected learning data; performing the learning on the pattern of the driver's operation based on the learning data and generating a categorization model for the pattern of the driver's operation according to a result of the learning; and determining whether or not to cause the auto-hold switch to enter an automatic operation mode while the vehicle is traveling, using the categorization model, and selectively causing the auto-hold switch to enter the automatic operation mode according to a result of the determining.

An information providing device for use in a moving body includes: a user behavior recognition unit configured to recognize a behavior of a user boarding on the moving body; a recommendation information output unit configured to output recommendation information for a prescribed service when the user behavior recognition unit recognizes a specific behavior estimated to be a behavior of the user getting off the moving body; a service request reception unit configured to receive a request for the prescribed service when the recommendation information output unit outputs the recommendation information.

Method and system for determining total carbon emissions of a first vehicle are disclosed. For example, the method includes determining a first amount of carbon emissions produced during a commissioning stage of the first vehicle, collecting driving data for one or more trips made by the first vehicle during an operating stage of the first vehicle, determining a second amount of carbon emissions produced during the operating stage of the first vehicle based at least in part upon the driving data, determining a third amount of carbon emissions produced during a decommissioning stage of the first vehicle, and determining the total amount of carbon emissions produced during a life cycle of the first vehicle based at least upon the first amount of carbon emissions, the second amount of carbon emissions, and the third amount of carbon emissions.