Patent classifications
G01S2013/9324
GUARDRAIL ESTIMATION METHOD BASED ON MULTI-SENSOR DATA FUSION, AND VEHICLE-MOUNTED DEVICE
A guardrail estimation method based on multi-sensor data fusion is provided. The guardrail estimation method comprises acquiring multi-sensor data and vehicle information, determining a traveling track of the vehicle based on the vehicle information, determining multiple guardrail sample points based on the multi-sensor data and the traveling track, and estimating guardrail information based on the multiple guardrail sample points. When the vehicle is controlled laterally, the guardrail information is used for correcting a lane line of poor quality; and when the lane line cannot be detected, the guardrail information is used for a lateral control downgrade processing, and the guardrail information also facilitates aided realization of fast and accurate expressway lane-level localization and realization of a higher-level aided driving function.
VEHICULAR OBJECT DETECTION DEVICE
A vehicular object detection device including: a rocker section that extends substantially along a vehicle front-rear direction, at a lower side of a side section of a vehicle, and that is configured by plural rocker configuration members; and an object detection sensor that is disposed in the rocker section and that detects an object at at least one of a side or the lower side of the vehicle, wherein: among the plural rocker configuration members, a rocker configuration member disposed at a vehicle width direction outer side of the object detection sensor is configured by a resin, or the rocker configuration member disposed at the vehicle width direction outer side of the object detection sensor is formed with a detection opening that is open toward a vehicle outer side at a position corresponding to a transceiver of the object detection sensor.
Driver Assistance System and Device and Method for Determining Object Status Parameter for Driver Assistance System
A device for determining an object status parameter for a driver assistance system including a radar and a camera arranged on a current vehicle, and the device for determining an object status parameter, includes an acquisition module configured to acquire object information of an object around a current vehicle detected by the radar and the camera, a determining module configured to determine, based on the object information, whether the object is a large object and the object is at the edge of a field of view of the radar, and, detect a precision requirement for a lateral distance between the current vehicle and the object, and a calculation module configured to in a case that it is detected that the precision requirement for the lateral distance is that first precision needs to be satisfied, calculate the lateral distance based on the object information detected by the camera.
Software defined automotive radar
- Curtis Davis ,
- Monier Maher ,
- Jean P. Bordes ,
- Manju Hegde ,
- Otto A. Schmid ,
- Raghunath K. Rao ,
- Marius Goldenberg ,
- Aria Eshraghi ,
- Vito Giannini ,
- David S. Trager ,
- Nikhilesh Bhagat ,
- Srikanth Gollapudi ,
- Sundar Govindarajan ,
- Steve Borho ,
- Jonathan Preussner ,
- Paul W. Dent ,
- Paul Bassett ,
- Stephen W. Alland ,
- Fred Harris ,
- Wayne E. Stark ,
- Murtaza Ali
A radar system has different modes of operation. In a method for operating the radar system, at least one of one or more transmitters are configured to transmit modulated continuous-wave radio signals, while at least one of one or more receivers are configured to receive radio signals. The received radio signals include the transmitted radio signals transmitted by the one or more transmitters and reflected from objects in the environment. The method further includes selectively modifying an operational parameter of at least one of the transmitters or at least one of the receivers. The selected operational parameter is modified to meet changing operational requirements of the radar sensing system.
Apparatus and methodology of road condition classification using sensor data
Methods and systems are provided for controlling a vehicle action based on a condition of a road on which a vehicle is travelling, including: obtaining first sensor data as to a surface of the road from one or more first sensors onboard the vehicle; obtaining second sensor data from one or more second sensors onboard the vehicle as to a measured parameter pertaining to operation of the vehicle or conditions pertaining thereto; generating a plurality of road surface channel images from the first sensor data, wherein each road surface channel image captures one of a plurality of facets of properties of the first sensor data; classifying, via a processor using a neural network model, the condition of the road on which the vehicle is travelling, based on the measured parameter and the plurality of road surface channel images; and controlling a vehicle action based on the classification of the condition of the road.
SOFTWARE DEFINED AUTOMOTIVE RADAR
- Curtis Davis ,
- Monier Maher ,
- Jean P. Bordes ,
- Manju Hegde ,
- Otto A. Schmid ,
- Raghunath K. Rao ,
- Marius Goldenberg ,
- Aria Eshraghi ,
- Vito Giannini ,
- David S. Trager ,
- Nikhilesh Bhagat ,
- Srikanth Gollapudi ,
- Sundar Govindarajan ,
- Steve Borho ,
- Jonathan Preussner ,
- Paul W. Dent ,
- Paul Bassett ,
- Stephen W. Alland ,
- Fred Harris ,
- Wayne E. Stark ,
- Murtaza Ali
A radar sensing system including transmit antennas and receive antennas, transmitters, receivers, and a controller. The system further includes a transmit antenna switch selectively coupling each of the transmitters to a respective transmit antenna, and a receive antenna switch selectively coupling at least one receiver of the receivers to respective receive antennas. A quantity of receivers is different from a quantity of the receive antennas. The controller is operable to select a quantity of receivers to be coupled to receive antennas to realize a desired quantity of virtual receivers. The controller is operable to select an antenna pattern as defined by the selected quantity of receivers coupled to receive antennas.
CONTROL SYSTEM FOR DETERMINING SENSOR BLOCKAGE FOR A MACHINE
A control system for a machine including a perception system comprising at least one sensor disposed on the machine and generating data signals pertaining to the machine and an environment associated with the machine and a controller communicably coupled to the perception system for receiving the data signals from the at least one sensor and determining from the data signals terrain features associated with the work site and presence of one or more objects on the work site or the machine, determining geometry of the at least one sensor, location of the at least one sensor on the machine, generating a field of view for the at least one sensor, estimating cast shadow for at least one object of the one or more objects based on the geometry and location of the at least one sensor and comparing the field of view with the cast shadow to determine sensor blockage.
System and method for adaptive driving beam headlamp
A lighting system for a local vehicle, comprising: a head lamp including a low-beam lamp for shining low-beam light in a first zone, and a first high-beam lamp for shining first high-beam light in the first zone; a sensory cluster for detecting a remote vehicle proximate to the local vehicle, the sensory cluster including a distance sensor for determining a distance of the remote vehicle from the local vehicle, and a velocity sensor for determining a velocity of the remote vehicle with respect to the local vehicle; and a lighting controller for determining a minimum-distance target time when the remote vehicle will reach a minimum distance from the local vehicle based on the distance of the remote vehicle and the velocity of the remote vehicle, and for controlling the operation of the first high-beam lamp based on the distance of the remote vehicle and the velocity of the remote vehicle.
Collision Avoidance System and Collision Avoidance Method
A host vehicle is provided with a detection device that detects the behavior of an object in the surroundings of the host vehicle in a non-contact manner. The host vehicle is also provided with the following: a warning device that performs a warning operation pertaining to a warning directed at a following vehicle that is traveling behind the host vehicle; and a control device that controls the warning device on the basis of the result of detection by the detection device. The control device controls the warning device so as to perform the warning operation in a case where the result of detection by the detection device indicates that the behavior of an object in the surroundings of the host vehicle corresponds to an unnatural behavioral pattern.
METHOD FOR WARNING A DRIVER OF A VEHICLE OF THE PRESENCE OF AN OBJECT IN THE SURROUNDINGS, DRIVER ASSISTANCE SYSTEM AND MOTOR VEHICLE
The invention relates to a method for warning a driver of a motor vehicle (1) about the presence of an object (12) in the surroundings (7) of the motor vehicle (1) by means of a driver assistance system (2), in which a position of the object (12) is determined by means of a sensor device (9), an anticipated driving tube (14) of the motor vehicle (1) is determined, a collision distance (DTC), which describes a distance between the motor vehicle (1) and the object (12) when the motor vehicle (1) moves within the determined driving tube (14), is determined on the basis of the determined position of the object (12) and the determined driving tube (14), a minimum distance (SD) between the motor vehicle (1) and the object (12) is determined, and a warning signal is output if the value of the minimum distance (SD) undershoots a predetermined limiting value, wherein the determined value of the minimum distance is adapted as a function of the determined collision distance (DTC).