A behavior prediction apparatus specifies a first object that affects a behavior of a vehicle from objects present around the vehicle. The behavior prediction apparatus performs a prediction process of extracting a second object that affects a behavior of the first object among a plurality of objects present around the first object and predicting a behavior. The behavior prediction apparatus sets the extracted second object as a new first object, and performs a prediction process of extracting a new second object affecting the behavior of the new first object and predicting the behavior. The behavior prediction apparatus repeats the prediction process by a predetermined number of times. The behavior prediction apparatus predicts the behavior of the first object in the first prediction process based on the behavior of each of the second objects subjected to the prediction process.

A system for a vehicle, having a driver monitoring device with a sensor device and with a first camera, an environment detection device with sensors for surroundings acquisition, a control unit and a classifier. Using the environment detection device and the classifier, traffic scenarios A and B may be classified. Using the driver monitoring device, it is possible to determine whether a direction of view of the driver is directed towards a traffic situation and whether the driver has their hands on a steering wheel of the vehicle. Using the control unit, it is possible, on the basis of information from the driver monitoring device and the environment detection device, to determine whether the driver is capable of resolving the traffic scenario classified as A or B within a response time.

The disclosure relates to a method for determining a driving instruction, whereby environmental data relevant to the surroundings of the motor vehicle is acquired by at least one detection device of a motor vehicle, after which, as a function of the environmental data, a driving instruction relevant to the driving operation of the motor vehicle is determined, which is specified by a gesture and/or a pose of a traffic controller mapped by the environmental data, wherein the determination of the driving instruction is carried out as a function of at least one set of training data, which was previously acquired by the detection device or a further detection device and which maps a further traffic controller and at least a traffic participant.

Providing user assistance in a vehicle includes identifying a driving behavior of the vehicle based on an evaluation of information about manual operation of the vehicle and information about an environment surrounding the vehicle, and issuing an alert to a user prompting the user to implement corrective manual operation. The user assistance further includes receiving a traffic behavior model that describes a predominating driving behavior of a like population of reference vehicles, and issuing the alert to a user prompting the user to implement corrective manual operation in response to identifying that the driving behavior of the vehicle does not match the predominating driving behavior of the like population of reference vehicles. Under the corrective manual operation, the driving behavior of the vehicle matches the predominating driving behavior of the like population of reference vehicles.

The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

A drive assist apparatus includes a surrounding situation recognition device, a surrounding situation determination processor, a steering-wheel holding state recognizer, a steering-wheel holding state determination processor, and a traveling control device. The surrounding situation recognition device recognizes a surrounding situation of a first vehicle to be applied with the apparatus. The surrounding situation determination processor determines the surrounding situation based on a recognition result of the surrounding situation recognition device. The steering-wheel holding state recognizer recognizes a steering-wheel holding state. The steering-wheel holding state determination processor determines the steering-wheel holding state on the basis of a recognition result of the steering-wheel holding state recognizer. The traveling control device executes a traveling control for emergency in a case where the surrounding situation determination processor or the steering-wheel holding state determination processor determines that the first vehicle or a driver of the first vehicle is unable to maintain normal traveling.

The present invention relates to a method for operating a motor vehicle as a first road user on a road, comprising: obtaining information on the current and/or a possible future traffic situation on the road; determining, based on the obtained information, whether a deviation from the present travel and/or steering direction or from a navigation destination on the road is appropriate according to a predefined criterion in order to clear the way for a second road user directly or indirectly via third road users, and if yes: determining a new destination on or at the side of the road, determining whether it is necessary to drive onto an obstacle in order to reach the new destination, and if yes, checking whether an adjustment of the chassis of the motor vehicle is compatible with driving onto the obstacle, and if yes, prompting the motor vehicle to head for the new destination.

An apparatus for determining levels of driving automation includes a controller configured to calculate a driving area of an ego vehicle using predetermined driving route information of the ego vehicle, and a transceiver configured to receive autonomous driving level information and driving information of a plurality of other vehicles in the driving area. The controller selects an overlap vehicle among the plurality of other vehicles based on the driving information, and determines an autonomous driving level of the ego vehicle.

A vehicle and an autonomous driving control method therefore may include detecting traffic environment information around a host vehicle, determining traffic flow in a host vehicle lane and a neighboring lane adjacent to the host vehicle lane according to the traffic environment information, and generating a driving strategy based on the traffic flow to control driving of the host vehicle according to the generated driving strategy.

Method and apparatus for traffic-aware speed guidance to a self-vehicle acting as a following vehicle vs. a followed vehicle. In a traffic environment that includes a followed vehicle and a self-vehicle that acts as a following vehicle, the apparatus is used to analyze values and change patterns of a plurality of speed inputs to obtain analyzed values, wherein a speed input of the followed vehicle is received through vehicle-to-everything (V2X) communications; to calculate, for each analyzed value, a respective TTC adjustment, to calculate a combined TTC between the self-vehicle and the followed vehicle using the TTC adjustments, and, based on the combined TTC, to calculate a new speed guidance between the self-vehicle and the followed vehicle, thereby improving traffic behavior.