An avoidance route calculation part calculates an avoidance route for avoiding a collision between an own vehicle and an obstacle through a collision avoidance assist control (an automatic brake control and an automatic steering control). A post-avoidance route calculation part calculates a post-avoidance route. A post-avoidance route collision determination part determinates whether a secondary obstacle is present on the post-avoidance route. When the secondary obstacle is determined to be present, the automatic steering control is prohibited from being performed.

An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications.

A low cost, all weather, high definition RF radar system for an autonomous vehicle is described. The high definition RF radar system generates true target object data suitable for imaging, scene understanding, and all weather navigation of the autonomous vehicle. The high definition RF radar system includes a pair of independent orthogonal linear arrays. Data from both linear arrays is fed to a processor that performs data association to form true target detections and target positions. A Boolean association method for determining true target detections and target positions reduces many of the ghosts or incorrect detections that can produce image artifacts. The high definition RF radar system provides near optimal imaging in any dense scene for autonomous vehicle navigation, including during visually obscured weather conditions such as fog.

A vehicle driving assist apparatus comprises at least one surrounding sensor and at least one vehicle element. The surrounding sensor memorizes at least one axis difference adjustment value which adjusts at least one axis difference of a detection axis of the surrounding sensor relative to a predetermined base detection axis and provides the vehicle element with information on the axis difference adjustment value memorized in the surrounding sensor as adjustment value information. The vehicle element memorizes the axis difference adjustment value included in the adjustment value information provided from the surrounding sensor and provides the surrounding sensor with information on the axis difference adjustment value memorized in the vehicle element as the adjustment value information. The surrounding sensor memorizes the axis difference adjustment value included in the adjustment value information provided from the vehicle element when the axis difference adjustment value is not memorized in the surrounding sensor.

An autonomous driving display system includes: an autonomous driving control device to carry out autonomous driving; an autonomous driving display device display state of which is recognizable from outside a vehicle; and an in-vehicle device to make the autonomous driving control device carry out autonomous driving of the vehicle upon receiving an autonomous driving instruction signal instructing autonomous driving, monitor start of the autonomous driving of the vehicle by the autonomous driving control device, and control a display state of the autonomous driving display device to be in a display state different from a display state before the autonomous driving is started when the autonomous driving of the vehicle is started by the autonomous driving control device.

A waveguide device includes: a first conductive member having a first conductive surface; a first waveguide member having a first waveguide face opposing the first conductive surface; a plurality of first conductive rods on both sides of the first waveguide member; a second conductive member having a second conductive surface; a second waveguide member having a second waveguide face opposing the second conductive surface; and a plurality of second conductive rods on both sides of the second waveguide member. A first waveguide gap exists between the first waveguide face and the first conductive surface. A second waveguide gap exists between the second waveguide face and the second conductive surface. One end of the first waveguide gap is connected to the second waveguide gap, and at a connecting portion therebetween, the first waveguide face extends in a direction that intersects a plane which is parallel to the second conductive surface.

A vehicle traveling control apparatus includes an obtaining unit, a detector, and a controller. The obtaining unit obtains traveling environment information. The traveling environment information includes at least lane line information of a lane along which an own vehicle travels and preceding vehicle information. The detector detects traveling information of the own vehicle. The controller performs a steering control on a basis of the traveling environment information and the traveling information. When the obtaining unit obtains only the lane line information and when the obtaining unit obtains both the lane line information and the preceding vehicle information, the controller performs the steering control on a basis of the lane line information.

Systems and methods are provided for controlling one or more brakes of the vehicle. The system may include a processor and a memory in communication with the processor with a brake control module. The brake control module includes instructions that, when executed by the processor, cause the processor to control the one or more brakes of the vehicle when the vehicle is in a first mode using a brake-by-wire system. When the vehicle is in a second mode, control the brake-by-wire system such that the one or more brakes of the vehicle are controlled using a mechanical braking system and the brake-by-wire system.

The present invention addresses the problem of attaining an object recognition device that can change control of a vehicle in accordance with the reliability of detection of a target object. The object recognition device according to the present invention recognizes a target object around a vehicle and includes: a distance-information-based target object determination unit 106 that determines whether or not an object 303 is a target object by using distance information from the vehicle 301 to the object 303; an image-information-based target object determination unit 107 that determines whether or not the object 303 is a target object by using image information obtained by capturing an image of the object 303 from the vehicle 301; and a target object detection reliability calculation unit 108 that calculates the reliability of detection of a target object by using the distance information and the image information.