A cruise control apparatus, mounted to a vehicle, controls traveling of the own vehicle, based on a predicted course, which is a future course of the own vehicle. The cruise control apparatus includes a preceding vehicle position storage unit, a course prediction computation unit, and a cancellation determination section. The preceding vehicle position storage unit chronologically stores a preceding vehicle position, which is a position of a preceding vehicle traveling ahead of the own vehicle. The predicted course computation unit calculates a predicted course, based on the trajectory of the preceding vehicle position. The cancellation determination section cancels the preceding vehicle position stored in the preceding vehicle position storage unit when it has been determined that either the own vehicle or the preceding vehicle is in a situation where the own vehicle or the preceding vehicle is likely to depart from the current course.

A radar device for detecting a distance between vehicles by the transmission and reception of survey waves is mounted in a vehicle as an object detection means for detecting an object. A cruise control apparatus includes a trajectory calculation means for calculating a moving locus of a preceding vehicle traveling in front of an own vehicle on the basis of the detection result of the radar device, a route prediction means for calculating a predicted route of the vehicle on the basis of the moving locus of the preceding vehicle calculated by the trajectory calculation means, an axial deviation detection means for detecting the axial deviation of the radar device, and an invalidation processing means for invalidating the predicted route calculated by the route prediction means when it is detected that the axial deviation detection means has detected axial deviation of the radar device.

A method for operating a control device for the autonomous guidance of a motor vehicle, wherein a nominal speed is predetermined as a driving speed to be set by the control device and another vehicle driving in front more slowly than the nominal speed is detected by a detection device of the control device, wherein a speed difference of a driving speed of the other vehicle with respect to the nominal speed is greater than zero but smaller than a predetermined maximum value. In this case, an accumulator value is set to a starting value and a current speed value of the speed difference is detected and depending on the speed value, an advantage value is formed and the advantage value is added to the accumulator value. If the accumulator value meets a predetermined overtaking criterion, an overtaking signal is generated for allowing an overtaking maneuver.

Generally, the present disclosure is directed to systems and methods for streaming processing within one or more systems of an autonomy computing system. When an update for a particular object or region of interest is received by a given system, the system can control transmission of data associated with the update as well as a determination of other aspects by the given system. For example, the system can determine based on a received update for a particular aspect and a priority classification and/or interaction classification determined for that aspect whether data associated with the update should be transmitted to a subsequent system before waiting for other updates to arrive.

Provided is a vehicle inspection system that enables inspection of an inspection vehicle provided with electromagnetic sensors having different wavelengths. A first absorption member and a second absorption member are provided to non-overlapping positions in front of a position at which the radiation range of radiated waves from the first electromagnetic sensor and the radiation range of radiated waves from the second electromagnetic sensor overlap.

Methods of detecting stationary objects are provided. Methods include: receiving sensor signal data including stationary and non-stationary detections from a surrounding environment of the ego-vehicle; determining at least one group of stationary detections which meet one or more lateral position selection criteria based on the lateral position of each stationary detection from a direction faced by the ego-vehicle; determining, at least one group of stationary detections which meet one or more group regularity selection criteria based on the regularity of the differences in position between pairs of sequentially positioned stationary detections in the group in the direction faced by the ego vehicle; determining stationary detections which meet the lateral selection criteria and the group regularity selection criteria for being a group of stationary detections corresponding to at least one stationary object; and removing the stationary detections in corresponding to at least one stationary object from the sensor signal data output.

In an object detection apparatus, a proximity determination unit determines whether or not a first object and a second object are in close proximity to each other, where the first object is an object detected based on detection information acquired from a radar and the second object is an object detected based on a captured image acquired from a monocular camera. A sameness determination unit determines that the first object and the second object are the same object, if it is determined that the first object and the second object are in close proximity to each other and if a difference between a first collision time with the first object and a second collision time with the second object is less than a reference value.

Provided is an autonomous vehicle including a storage configured to store a map including two-dimensionally represented road surface information and three-dimensionally represented structure information, a camera configured to obtain a two-dimensional (2D) image of a road surface in a vicinity of the vehicle, a light detection and ranging (LiDAR) unit configured to obtain three-dimensional (3D) spatial information regarding structures in a vicinity of the vehicle, and a controller comprising processing circuitry configured to determine at least one of the camera or the LiDAR unit as a position sensor, based on whether it is possible to obtain information regarding the road surface and/or the structures in the vicinity of the vehicle, to identify a position of the vehicle on the map corresponding to a current position of the vehicle using the position sensor, and performing autonomous driving based on the identified position on the map.

In an object detection apparatus, a sameness determination unit determines whether or not a first object and a second object are a same object, where the first object is an object detected by an electromagnetic wave sensor and the second object is an object detected by an image sensor. A position determination unit determines a position of the same object that is an object for which the first object and the second object are determined to be the same, where a Y-coordinate of or a distance to the same object in an XY-plane is determined employing a result of the detection of the first object and an X-coordinate or an azimuth of the same object with respect to a reference direction in the XY-plane is determined employing a result of the detection of the second object.

Systems, methods and apparatuses of radar Electronic Control Units (ECUs) of autonomous vehicles. A radar ECU can include: a memory configured to store a radar image and an Artificial Neural Network (ANN); an inference engine configured to use the (ANN) to analyze the radar image and generate inference results; and a communication interface coupled to a computer system of a vehicle to implement an advanced driver assistance system to operate the controls according to the inference results and a sensor data stream generated by sensors configured on the vehicle.