A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

A vehicle control device includes a processor. The processor is configured to: detect a mobile body located in a region that is not a host vehicle lane in which a host vehicle is traveling, out of regions that are adjacent to an adjacent lane that is adjacent to the host vehicle lane; detect entry operation of the mobile body to enter the adjacent lane; and when the processor detects the entry operation, perform steering control for the host vehicle such that a travel position of the host vehicle within the host vehicle lane in a width direction of the host vehicle lane is moved in a direction away from the adjacent lane before the entry operation is completed.

A system and method for performing autonomous navigation of a vehicle are disclosed, which recognize a possibility of collision risk through path estimation of a target vehicle, and generate an autonomous navigation path. The autonomous navigation system for a vehicle includes: a target-vehicle information detection unit configured to detect traveling information of a target vehicle; and a path generation unit configured to estimate movement of the target vehicle on the basis of the information received from the target-vehicle information detection unit, calculate a collision risk value by recognizing a possibility of collision risk between an ego-vehicle and the target vehicle, and generate an autonomous navigation path of the ego-vehicle.

A vehicle system includes at least one environmental sensor and a processing device. The environmental sensor is programmed to collect traffic information. The processing device is programmed to receive the traffic information, generate a traffic complexity index based at least in part on the traffic information, compare the traffic complexity index to a predetermined threshold, and generate a traffic alert signal if the traffic complexity index exceeds the predetermined threshold.

Provided is a vehicle travel control device capable of improving the usability of a following control by detecting dangerous behavior in a preceding vehicle, and differing the release timing of the following control. A vehicle travel control device having a preceding vehicle behavior recognition means for obtaining behavior information for a preceding vehicle, a preceding vehicle behavior determination means for detecting the degree of risk of dangerous behavior in the preceding vehicle from the behavior information, and determining the feasibility of a following control targeting the preceding vehicle on the basis of the detected dangerous behavior risk degree, and a vehicle operation control means for outputting an acceleration/deceleration/braking/steering control command to an actuator on the basis of the feasibility determination for the following control, wherein dangerous behavior is detected on the basis of the preceding vehicle behavior information, and the timing differs between a first release timing for the following control when a first dangerous behavior is detected and a second release timing for the following control when a second dangerous behavior different from the first dangerous behavior is detected.

A driver-assistance method for a motor vehicle of interest, in which the vehicle of interest detects the third-party vehicles which are present at an initial instant in its environment is disclosed. During a first prediction cycle, an order of priority is assigned to the third-party vehicles which are detected at the initial instant and to the vehicle of interest, corresponding to an order in which the vehicles in the set follow one another in the travel zone starting from a vehicle detected in a position which is furthest ahead of the vehicle of interest. For each selected vehicle in the set, taken in the order of priority, another vehicle in the set is identified which is able to be a primary target vehicle for this selected vehicle. A manoeuvre which is in progress for the selected vehicle is estimated on the basis at least of the identified primary target vehicle.

A vehicle control device activates a safety device for suppressing a collision between a host vehicle and an oncoming vehicle that is traveling straight along an oncoming traffic lane, when the host vehicle changes from traveling straight along its own traffic lane to making a right or left turn to cross the oncoming traffic lane. The vehicle control device includes a judgement unit and a control unit, where the judgement unit judges when the host vehicle is in a right or left turning condition prior to crossing the oncoming traffic lane, and if is determined that the host vehicle is in the right or left turning condition, the control unit activates the safety device based on a time to lateral collision. The time to lateral collision is obtained by dividing a lateral distance by a lateral velocity, where the lateral velocity is the velocity of the host vehicle in a lateral direction orthogonal to the straight travel direction of the oncoming vehicle, and the lateral distance is the distance, in the lateral direction, from the host vehicle to a predetermined vehicle traffic area defined along the straight travel path of the oncoming vehicle.

In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

A system for predicting a collision risk in lane change decision based on a radar sensor, includes radar sensors disposed at a front portion and a rear portion of a host vehicle to recognize a forward vehicle positioned at a front-side portion of the host vehicle and a rearward vehicle positioned at a rear-side portion of the host vehicle, respectively, and a moving controller configured to determine that the host vehicle is able to change a lane, when a position of a counterpart vehicle, which is measured through the radar sensor, is not included in a section of the local map, and when a relative acceleration of the counterpart vehicle is maintained in an allowance range for a specific time.

In a vehicle travel control apparatus configured to determine a target acceleration of an own vehicle based on an inter-vehicle distance to a predicted cutting-in vehicle predicted to cut in between the own vehicle and a following target vehicle as well as an inter-vehicle distance to the following target vehicle, it is necessary to notify a driver of the presence of the predicted cutting-in vehicle at an appropriate timing. A cutting-in probability, which is a probability that the predicted cutting-in vehicle carries out the cutting in, is acquired, and information on the predicted cutting-in vehicle is notified to the driver from a time point when a state where the cutting-in probability is higher than a start probability threshold has continued for a predetermined period to a time point when a state where the cutting-in probability is lower than an end probability threshold has continued for a predetermined period.