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.

Systems, methods, and autonomous vehicles may obtain one or more images associated with an environment surrounding an autonomous vehicle; determine, based on the one or more images, an orientation of a head worn item of protective equipment of an operator of a vehicle; determine, based on the orientation of the head worn item of protective equipment, a direction of a gaze of the operator and a time period associated with the direction of the gaze of the operator; determine, based on the direction of the gaze of the operator and the time period associated with the direction of the gaze of the operator, a predicted motion path of the vehicle; and control, based on the predicted motion path of the vehicle, at least one autonomous driving operation of the autonomous vehicle.

In cases in which an other vehicle traveling along an adjacent lane, which is adjacent to a travel lane of a host vehicle is executing a cut-in operation to move from the adjacent lane to a cut-in position ahead of the host vehicle in the travel lane, a processor controls a display section configured to display a travel lane image representing the travel lane, an adjacent lane image representing the adjacent lane, a lane boundary line image representing a lane boundary line defining a boundary between the travel lane and the adjacent lane, and an other vehicle image representing the other vehicle, such that the display section causes the other vehicle image to move in a discontinuous manner from a first position on the adjacent lane image to a second position on the lane boundary line image.

A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control when a forbiddance condition is satisfied, and a collision condition is satisfied. The forbiddance condition is a condition that the collision angle is equal to or greater than a predetermined collision angle threshold. The collision condition is a condition that an own vehicle is going to collide with an object. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and sets the predetermined collision angle threshold such that the predetermined collision angle threshold set for the greater own vehicle turning angle is smaller than the predetermined collision angle threshold set for the smaller own vehicle turning angle.

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.

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.

A driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program to recognize a physical object, generate a future avoidance trajectory along which a moving object is able to move while avoiding the contact with the physical object, acquire a steering state of the moving object, determine an amount of change in an avoidance trajectory error, calculate an index value by making a weight of an avoidance trajectory error at a point in time earlier than a reference point in time greater or less than a weight of the avoidance trajectory error at the reference point in time according to the amount of change, and guide a driver of the moving object or the moving object such that the steering state of the moving object is changed in accordance with the index value.

A system for controlling stop of a vehicle includes a steering angle comparison device that detects a current steering angle of the vehicle and compares the detected current steering angle with a preset limit steering angle when a malfunction of a steering system in the vehicle is detected during autonomous driving, a partial braking induction determination device that determines a position of a tire of the vehicle to be subjected to partial braking for steering control of the vehicle according to a result of the comparing between the current steering angle and the limit steering angle, and a partial braking control device that determines an amount of braking to be applied to each determined tire of the vehicle and applies a braking pressure corresponding to the amount of braking to each tire of the vehicle to perform the steering control by the partial braking.

A moving body control apparatus includes a lane change control section that performs lane change control causing a moving body to perform a lane change from a first lane, in which the moving body is travelling, to a second lane that is adjacent to the first lane, a judging section that judges whether another moving body travelling in the second lane will perform a lane change from the second lane to the first lane, based on vicinity information, and a restriction control section that restricts the lane change of the moving body from the first lane to the second lane when it is judged by the judging section that the other moving body will perform the lane change from the second lane to the first lane.