A driving control method is provided in which a processor configured to control driving of a vehicle acquires detection information around a vehicle on the basis of a detection condition that can be set for each point; extracts events which the vehicle encounters, on the basis of the detection information; creates a driving plan in which a driving action is defined for each of the events on the basis of the detection information acquired in the events; executes a driving control instruction for the vehicle in accordance with the driving plan; and determines the detection condition on the basis of the content of the driving action defined for each of the events.

A method for preventing a collision between a motor vehicle and at least one target object, the motor vehicle includes a detection system capable of detecting the target object and a warning system including at least one light module. The method includes detecting the target object and determining a position and a speed of the target object using the detection system. The method further includes estimating a critical trajectory likely to be followed by the target object in order to collide with the vehicle depending on the position and the speed of the target object, the critical trajectory being associated with a collision risk/collision time relationship. The method additional includes transmitting at least one light warning to the driver of the vehicle using the light module of the warning system.

Systems and methods for determining whether a vehicle is driving in an unsafe or unsatisfactory manner are disclosed. In some implementations, a system may determine one or more driving scores for a vehicle based on observations of a driving behavior of the vehicle during a time period. The system may generate an indication of unsatisfactory driving based on at least one of the one or more driving scores exceeding a threshold value. The system may provide the indication of unsatisfactory driving to one or more entities. In some aspects, the system may identify one or more dangerous driving attributes exhibited by the vehicle during the time period based on the observations received from the one or more devices. The system may also generate the indication of unsatisfactory driving based at least in part on the identified dangerous driving attributes.

A driving assistance device to properly recognize a relative positional relationship between mobile objects without the use of map information. The driving assistance device includes a relative position judgment section for judging a relative positional relationship of an object of interest and a first neighboring object relative to a second neighboring object, based on object-of-interest information and neighbor information, to make a judgment as a first judgment on a relative positional relationship between the object of interest and the first neighboring object, based on the aforementioned judgment result.

An apparatus and a method in an autonomous vehicle detect a traffic flow obstruction target. The apparatus detects information about at least one of a speed of another vehicle, a driving path of the other vehicle, or a position of the other vehicle. The apparatus calculates a degree to which the other vehicle interferes with traffic flow, based on the detected information and based on high definition map information stored in a memory. The apparatus selects a traffic flow obstruction target, based on the degree to which the other vehicle interferes with the traffic flow. The apparatus detects a target causing bypass driving, which is present on a driving path, to enhance the continued operation of autonomous driving.

An integrated circuit for use in a first vehicle may include: an interface circuit that communicates with a second integrated circuit in a second vehicle; and a processing circuit. During operation, the processing circuit may determine that the second vehicle has better situational awareness for a portion of a road or an environment proximate to the road than the first vehicle, where the second vehicle is proximate to the first vehicle. Then, the processing circuit may dynamically establish, with the second integrated circuit, a communication pairing with the second vehicle. Moreover, the integrated circuit may exchange, via the pairing, information with the second integrated circuit. For example, the exchanged information may include or may specify: measurement data, one or more detected objects, one or more object identifiers, seed information for a detection technique (such as a priori information), and/or a priority or urgency of the exchanged information.

A method for providing a positive decision signal for a vehicle which is about to perform a traffic scenario action. The method includes receiving information about at least one surrounding road user, which information is indicative of distance to the surrounding road user with respect to the vehicle and at least one of speed and acceleration of the surrounding road user; calculating a value based on the received information; providing the positive decision signal to perform the traffic scenario action when the calculated value is fulfilling a predetermined condition. The value is calculated based on an assumption that the surrounding road user will react on the traffic scenario action by changing its acceleration.

An apparatus, including: an interface configured to receive raw images of one or more objects across a timeseries of frames corresponding to a movement event from a perspective of a vehicle of interest (Vol); and processing circuitry that is configured to: track a change in intensity or direction information represented in motion vectors (MVs) generated based on the raw images; generate, based on the change in the intensity or direction information, a weight of an influence vector representing a Vol influence on the movement event; and transmit the weight of the influence vector and an identity of the movement event to an assessment system that is configured to utilize the weight of the influence vector in an assessment of the Vol.

Methods and systems for controlling an occupant output system associated with a vehicle are provided. The methods and systems receive vehicle or occupant context data from a source of vehicle context data, generate occupant message data based on the vehicle or occupant context data and determine if an occupant associated with the occupant output system is vision or hearing impaired. When the occupant is determined to be vision or hearing impaired, the methods and systems decide on an output modality to assist the occupant, and generate an output for the occupant on the output device, and in the output modality, based on the occupant message data.

Systems and methods for determining the drivable space of a road, for applications such as autonomous navigation. To determine the non-drivable space under another vehicle, systems and methods of embodiments of the disclosure generate 3D bounding boxes from 2D bounding boxes of objects in captured roadway images, and from various geometric constraints. Image portions may be labeled as drivable or non-drivable according to projections of these 3D bounding boxes onto their road surfaces. These labeled images, along with accompanying semantic information, may be compiled to form training datasets for a machine learning model such as a CNN. The training datasets may train the CNN to classify input image portions into drivable and non-drivable space, for applications such as autonomous navigation.