Abstract: A collision detection apparatus incorporated in a vehicle has: a radar that detects an object; and a controller that determines whether there is a possibility of collision between the vehicle and the object based on a result of detection by the radar. A detection-direction center axis of the radar is tilted to right or left by 20° to 60° with respect to a straightforward running direction of the vehicle.

Abstract: A radar device has a plurality of receiving antennas which receive, as a reception wave, a radar wave sent in a predetermined reference direction and reflected by a target; a phase difference detection unit which detects a first phase difference of the reception wave received by a first receiving antenna pair that is spaced by a first gap, and a second phase difference of the reception wave received by a second receiving antenna pair that is spaced by a second gap smaller than the first gap; and an angle detection unit which performs a first process of determining, as a detection angle, an angle of the target relative to the reference direction being a mutually coincident angle from among a plurality of first angles corresponding to the first phase difference and a plurality of second angles corresponding to the second phase difference. The radar device allows expanding an angle detection range without reducing the resolution of the angle corresponding to the second phase difference.

Abstract: A target position is estimated in such a manner to maintain target position continuity, with high accuracy, even when the X coordinate displacement of the target is large. On a scan in which the target position is not detected, when a trajectory of the target in the past is within a predetermined region in the vicinity of the Y-axis, a position for estimate is a position having an X coordinate resulting from shifting, by a first displacement, the X coordinate estimated according to the trajectory, on a basis of the X coordinate of a previous position, while when the trajectory is not within the predetermined region, the position for estimate is a position having an X coordinate resulting from shifting, by a second displacement that is larger than the first displacement, the X coordinate estimated according to the trajectory, on a basis of the X coordinate of a previous position.

Abstract: A collision prediction ECU of a collision prediction apparatus estimates a state of presence of a detected front obstacle. At this time, the collision prediction ECU estimates the state of presence on the basis of road shape data supplied from a navigation ECU of a navigation apparatus. Further, the collision prediction ECU checks and corrects the calculated road gradient value. At this time, the collision prediction ECU corrects the gradient value on the basis of road gradient data supplied from the navigation ECU. Further, the collision prediction ECU changes a collision avoidance time on the basis of travel environment data supplied from the navigation ECU. Moreover, the collision prediction ECU obtains an ETC gate pass-through signal from the navigation ECU and determines whether the vehicle is passing through the gate. The collision prediction apparatus performs collation prediction on the basis of the corrected values.

Abstract: A collision prediction ECU of a collision prediction apparatus estimates a state of presence of a detected front obstacle. At this time, the collision prediction ECU estimates the state of presence on the basis of road shape data supplied from a navigation ECU of a navigation apparatus. Further, the collision prediction ECU checks and corrects the calculated road gradient value. At this time, the collision prediction ECU corrects the gradient value on the basis of road gradient data supplied from the navigation ECU. Further, the collision prediction ECU changes a collision avoidance time on the basis of travel environment data supplied from the navigation ECU. Moreover, the collision prediction ECU obtains an ETC gate pass-through signal from the navigation ECU and determines whether the vehicle is passing through the gate. The collision prediction apparatus performs collation prediction on the basis of the corrected values.

Abstract: A crash-safe vehicle control system for controlling operating devices of an own vehicle such as a vehicle decelerating device and an occupant protecting device, on the basis of information on at least one preceding object existing in front of the own vehicle. The vehicle control system is arranged to effect at least one of a non-first-preceding-object-information-dependent control and a width-related-information-dependent control. The non-first-preceding-object-information-dependent control is a control of the operating devices on the basis of non-first-preceding-object information detected by the present system per se, in the presence of a high possibility of crashing of the own vehicle with a first preceding vehicle existing immediately in front of the own vehicle. The non-first-preceding-object information relates to at least one non-first preceding object each existing in front of the first preceding vehicle.

Abstract: A collision prediction ECU of a collision prediction apparatus estimates a state of presence of a detected front obstacle. At this time, the collision prediction ECU estimates the state of presence on the basis of road shape data supplied from a navigation ECU of a navigation apparatus. Further, the collision prediction ECU checks and corrects the calculated road gradient value. At this time, the collision prediction ECU corrects the gradient value on the basis of road gradient data supplied from the navigation ECU. Further, the collision prediction ECU changes a collision avoidance time on the basis of travel environment data supplied from the navigation ECU. Moreover, the collision prediction ECU obtains an ETC gate pass-through signal from the navigation ECU and determines whether the vehicle is passing through the gate. The collision prediction apparatus performs collation prediction on the basis of the corrected values.

Abstract: An on-vehicle apparatus for recognizing objects is provided. The apparatus comprises a transmission/reception unit, detection unit, estimation unit, and specification unit. The transmission/reception unit transmits a medium wave toward a desired directional range from the vehicle and receives reflected waves of the medium wave and the detection unit detects objects existing in the desired directional range on the basis of the reflected wave. The estimation unit estimates a possibility that each detected object has been detected based on a reflected wave from a first part (e.g., cabin) of a further vehicle other than a second part (e.g., rear part) of the further vehicle, the first part being other than the second part that is the closest in distance to the apparatus-mounted vehicle. The specification unit specifies the second part as an object to finally be recognized of the apparatus-mounted vehicle depending on an estimated result by the estimation unit.