Patent classifications
G01S2013/9324
MOUNTING STRUCTURE FOR A PERIPHERAL INFORMATION DETECTION SENSOR
A mounting structure for a peripheral information detection sensor including: an aeropart that is disposed above a cabin of a truck and that has a wall surface that faces toward a front direction, a wall surface that faces toward an upper direction, wall surfaces that face outward in a transverse direction, and a wall surface that faces toward a rear direction; a peripheral information detection sensor that is mounted within a space enclosed by the wall surfaces; and a cover that is provided on at least one wall surface that lies opposite the peripheral information detection sensor, and through which only a detection medium that is required for peripheral information detection is able to be transmitted, is provided.
APPARATUS AND METHOD FOR CONTROLLING PLATOONING INFORMATION OF VEHICLE
A platooning control apparatus is provided and includes a processor that separates platooning vehicle groups and creates new platooning vehicle groups when a situation occurs that requires separating the platooning vehicle groups during platooning of a leading vehicle and following vehicles. A storage stores data and algorithms driven by the processor. When an obstacle is detected in the platooning vehicle groups, the process performs in-lane avoidance control by determining whether in-lane avoidance of the following vehicles traveling behind the obstacle is possible.
METHOD FOR DETECTING AT LEAST ONE OBJECT IN A SURROUNDING AREA OF A MOTOR VEHICLE, DRIVER ASSISTANCE SYSTEM AND MOTOR VEHICLE
The invention relates to a method for detecting at least one object (9a, 9b, 9c) in a surrounding area (7) of a motor vehicle (1) by means of a driver assistance system (2), in which a transmission signal is transmitted in each of chronologically consecutive measurement cycles via a distance sensor (4), and a first and a second echo of the transmission signal reflected by the at least one object (9a, 9b, 9c) are received; and, by means of a control device (3), a first distance value (a1) is determined based on the first echo, a second distance value (a2) is determined based on the second echo, and a height of the at least one object (9a, 9b, 9c) is determined based on the first and the second distance value (a1, a2); wherein the measurement cycles are carried out during a relative movement of the motor vehicle (1) with respect to the at least one object (9a, 9b, 9c); in at least two of the measurement cycles, a difference value is determined in each case, which describes a difference between the second distance value (a2) and the first distance value (a1); and the height of the at least one object (9a, 9b, 9c) is determined based on a change in the respective difference value determined in the at least two measurement cycles.
Apparatus, method and computer program for computer vision
An apparatus comprising circuitry configured to transfer motion information obtained from a plurality of sensors of different or similar type to a common representation.
Method of determining position of vehicle and vehicle using the same
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.
Occupancy grid map for a vehicle
An occupancy grid map for a vehicle includes several cells disposed in grid-like fashion. The cells of the occupancy grid map are adapted, as a function of a driving situation of the vehicle, to the driving situation. Areas of the cells are configured to be smaller in a region closer to the vehicle, and are configured to be larger in a region further away from the vehicle.
Collision Avoidance System and Collision Avoidance Method
A collision avoidance system is provided with: a rear detection device arranged in a host vehicle and capable of detecting an object directly behind the host vehicle, an object to the rear-right of the host vehicle, and an object to the rear-left of the host vehicle in a non-contact manner. A computation processing unit outputs, on the basis of a detection result from the rear detection device, the presence/absence of the possibility of a collision between the host vehicle and: a first following vehicle approaching the host vehicle from directly behind, a second following vehicle approaching the host vehicle from the rear-right, and a third following vehicle approaching the host vehicle from the rear-left. A warning device generates warnings when there is the possibility of a collision with the first, second or third following vehicles.
Systems and methods for distributed cooperative localization in a connected vehicular platform
Systems and methods for distributed cooperative localization in a connected vehicular platform are disclosed herein. At a first sensor-rich vehicle, one embodiment receives, from a second sensor-rich vehicle via direct vehicle-to-vehicle (V2V) communication, an estimated location of the first sensor-rich vehicle and an associated confidence level; estimates a location of the second sensor-rich vehicle based on first sensor data and assigns a confidence level to the estimated location; transmits to the second sensor-rich vehicle via direct V2V communication, the estimated location of the second sensor-rich vehicle and the assigned confidence level; accepts, based on communication between the first and second sensor-rich vehicles and predetermined acceptance criteria, an assignment to perform localization for a legacy vehicle; estimates a location of the legacy vehicle based on second sensor data; and transmits, to the legacy vehicle, the estimated location of the legacy vehicle.
Vehicle alignment systems for loading docks
Example vehicle alignment systems for use at loading docks are disclosed herein. An example vehicle alignment system includes a sensor system to detect a surface of a vehicle, where the sensor system obtains a feedback signal representative of a spatial orientation of the detected surface relative to a reference as the vehicle approaches a doorway of the loading dock. A controller detects a threshold deviation in the spatial orientation of the detected surface of the vehicle relative to the reference based on the feedback signal. A display varies an output signal in response to the detected deviation in the spatial orientation of the detected surface relative to the reference.
LOCALIZATION OF CHARGING COILS, WHICH IS INTERGRATED IN DISTANCE SENSORS
A sensor for outputting a first measurement signal that is dependent on a measurement variable to be detected in a vehicle, including: a sensor circuit having a measuring sensor for generating the first measurement signal on the basis of the measurement variable, and a magnetic field probe for outputting a second measurement signal that is dependent on a magnetic field to be detected.