A vehicle includes a traveling information acquiring device configured to recognize a first vehicle that travels in the same lane as the vehicle and in front of the vehicle, recognize a second vehicle that travels in the same lane as the vehicle and travels in front of the first vehicle and acquire traveling information of the first vehicle and the second vehicle; and a control device configured to control the behavior of the vehicle acceleration or deceleration based on a vehicle speed difference between a vehicle speed of the first vehicle and the vehicle speed of the second vehicle when the second vehicle is recognized during the execution of the follow-up control that controls the vehicle speed of the vehicle and adjusts the distance between the vehicle and the first vehicle.

A vehicular collision avoidance system includes a forward-viewing camera viewing through the windshield at least forward of the equipped vehicle, a rearward-sensing radar sensor sensing at least rearward of the equipped vehicle, and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to data processing of radar data captured by the rearward-sensing radar sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines distance between the equipped vehicle and the other vehicle, and determines speed difference between the equipped vehicle and the other vehicle. Based at least in part on the determined distance between the equipped vehicle and the other vehicle and the determined speed difference between the equipped vehicle and the other vehicle, the vehicular collision avoidance system controls the equipped vehicle to mitigate impact by the other vehicle.

The vehicle control device sets a region including a stationary object on a road, calculates a passing position at which a host vehicle and an oncoming vehicle pass each other in accordance with a velocity of the host vehicle and a position and a velocity of the oncoming vehicle, calculates a first score that is a larger value as the velocity of the oncoming vehicle is greater, calculates a second score that is a larger value as an acceleration rate of the oncoming vehicle is greater, integrates the first score with the second score so as to calculate an integration score, and causes the host vehicle to decelerate when the integration score is greater than or equal to a predetermined value or causing the host vehicle to keep the velocity or accelerate when the integration score is smaller than the predetermined value.

Provided is a driving assistance device that makes it possible to smoothly accelerate from a stop or from a speed close to a stop. A target acceleration/deceleration output unit of the driving assistance device has: a first map that stores first target accelerations which are associated with inter-vehicle distance and with relative speed; a second map that stores second target accelerations which are associated with inter-vehicle distance and with relative speed and which are greater than the first target accelerations with respect to inter-vehicle distance and relative speed; and a selection unit that selects, according to a vehicle speed, whether to use the output of the first map and/or whether to use the output of the second map.

In an overhead-structure recognition device to be mounted to a vehicle, a determination unit is configured to, in response to a vertical distance between an object of interest and a high-reflectivity object being greater than or equal to a predefined value of vertical distance, determine that the object of interest is an overhead structure which is a structure located above the vehicle that does not obstruct travel of the vehicle. The object of interest corresponds to a subset of interest among a plurality of subsets acquired by dividing range point cloud data. The high-reflectivity object is an object other than the object of interest, among objects corresponding to the respective subgroups, whose reflectance is greater than or equal to a predefined value of reflectance.

A traveling control apparatus performs a target-following control process on a target to be followed detected by a target detecting unit. Further, the traveling control apparatus calculates a probability that the target to be followed is within an own lane, and determines whether a degree of recognition by the target detecting unit of the target to be followed is in a weakly recognized state where the degree of recognition is weaker than a predetermined degree. The apparatus sets a reliability of the target to be followed on the basis of the probability calculated by a probability calculating process and a determination result by a determining process, and controls acceleration of an own vehicle so that a jerk which is a differential value of the acceleration becomes smaller as the reliability of the target to be followed is lower while the target-following control process is performed.

A method for minimizing disturbance due to wind forces of a trailer being towed by a vehicle. The method also includes receiving, at a data processing hardware data from a sensor system for the tow vehicle. The method also includes determining, at the data processing hardware, a passing object profile. The method also includes predicting, at the data processing hardware, a wind force profile based upon the sensor data the passing object profile. The method also includes determining, at the data processing hardware, at least one preventative action for the vehicle to minimize the effect of disturbance on the trailer.

A vehicle travel control device is equipped with a target vehicle speed setting part which outputs a set up target vehicle speed, a constant speed travel controller which outputs a first acceleration instruction for constant speed travel from the speed of a host vehicle and the target vehicle speed, a target inter vehicle distance setting part which outputs a target inter vehicle distance between a preceding vehicle and the host vehicle, an inter vehicle distance controller which outputs a second acceleration instruction for controlling to the target inter vehicle distance, and a control selection part which selects either the first acceleration instruction or the second acceleration instruction, to make an acceleration instruction. The control selection part has a predetermined switching acceleration, and is configured to select the second acceleration instruction of the inter vehicle distance controller, when it is judged that the second acceleration instruction exceeds the switching acceleration.

The invention relates to a method for controlling an at least partially autonomously driving ego vehicle, at least the surroundings, legal driving conditions and the traffic in front of the ego vehicle in a current lane being detected by sensors. The problem addressed by the invention is that of providing an improved method. The problem is solved in that a first query relating to a possible speed is carried out, and a target acceleration is calculated when it is detected that the possible speed is greater than the current speed, and a second query is carried out as to whether there is a vehicle in an adjacent lane within an observation region, whether an acceleration at the calculated target acceleration is carried out, since no vehicle has been detected within the observation region, or whether no acceleration at the target acceleration is carried out, since a vehicle has been detected within the observation region.

The techniques and systems herein enable estimated-acceleration determination for AEB Specifically, for a potential collision, a determination is made as to whether the target of the potential collision is likely to be stopped prior to the potential collision (e.g., due to its own braking). One of a plurality of estimated-acceleration functions is then selected based on whether the target is likely to be stopped prior to the potential collision. Using the selected estimated-acceleration function, an estimated acceleration to avoid the potential collision is calculated. By selecting different estimated-acceleration functions based on whether targets are likely to be stopped prior to potential collisions, more-accurate estimated accelerations may be generated, thus enabling better collision avoidance and/or avoiding unnecessarily strong braking.