-
公开(公告)号：US10943131B2
公开(公告)日：2021-03-09
申请号：US16409035
申请日：2019-05-10
发明人： Yu Su , Andre Paus , Kun Zhao , Mirko Meuter , Christian Nunn
摘要： An image processing method includes: determining a candidate track in an image of a road, wherein the candidate track is modelled as a parameterized line or curve corresponding to a candidate lane marking in the image of a road; dividing the candidate track into a plurality of cells, each cell corresponding to a segment of the candidate track; determining at least one marklet for a plurality of said cells, wherein each marklet of a cell corresponds to a line or curve connecting left and right edges of the candidate lane marking; determining at least one local feature of each of said plurality of cells based on characteristics of said marklets; determining at least one global feature of the candidate track by aggregating the local features of the plurality of cells; and determining if the candidate lane marking represents a lane marking based on the at least one global feature.
-
公开(公告)号：US20230037900A1
公开(公告)日：2023-02-09
申请号：US17817466
申请日：2022-08-04
发明人： Mirko Meuter , Christian Nunn , Jan Siegemund , Jittu Kurian , Alessandro Cennamo , Marco Braun , Dominic Spata
IPC分类号： G01S13/931 , G01S13/89
摘要： The present disclosure is directed at systems and methods for determining objects around a vehicle. In aspects, a system includes a sensor unit having at least one radar sensor arranged and configured to obtain radar image data of external surroundings to determine objects around a vehicle. The system further includes a processing unit adapted to process the radar image data to generate a top view image of the external surroundings of the vehicle. The top view image is configured to be displayed on a display unit and useful to indicate a relative position of the vehicle with respect to determined objects.
-
公开(公告)号：US20220214441A1
公开(公告)日：2022-07-07
申请号：US17646504
申请日：2021-12-30
发明人： Sven Labusch , Igor Kossaczky , Mirko Meuter , Simon Roesler
IPC分类号： G01S13/536 , G01S7/35
摘要： A computer implemented method for compressing radar data comprises the following steps carried out by computer hardware components: acquiring radar data comprising a plurality of Doppler bins; determining which of the plurality of Doppler bins represent stationary objects; and determining compressed radar data based on the determined Doppler bins which represent stationary objects.
-
公开(公告)号：US20210271252A1
公开(公告)日：2021-09-02
申请号：US17178198
申请日：2021-02-17
发明人： Kun Zhao , Abdallah Alashqar , Mirko Meuter
摘要： A method for determining information on an expected trajectory of an object comprises: determining input data being related to the expected trajectory of the object; determining first intermediate data based on the input data using a machine-learning method; determining second intermediate data based on the input data using a model-based method; and determining the information on the expected trajectory of the object based on the first intermediate data and based on the second intermediate data.
-
公开(公告)号：US10452999B2
公开(公告)日：2019-10-22
申请号：US15467684
申请日：2017-03-23
摘要： A method of generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle includes: capturing consecutive training images by the camera while the vehicle is moving; determining ground-truth data for the training images; computing optical flow vectors from the training images and estimating a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera; classifying the first output signal for each of the training images as a correct signal or a false signal depending on how good the first output signal fits to the ground-truth data; determining optical flow field properties for each of the training images derived from the training images; and generating a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal.
-
公开(公告)号：US20230067751A1
公开(公告)日：2023-03-02
申请号：US17820830
申请日：2022-08-18
IPC分类号： B60W30/18
摘要： The present disclosure describes a computer-implemented method for controlling a vehicle. In aspects, the computer-implemented method includes acquiring sensor data from a sensor, determining first processed data related to a first area around the vehicle based on the sensor data using a machine-learning method, and determining second processed data related to a second area around the vehicle based on the sensor data using a conventional method. The second area may include a subarea of the first area. In addition, the computer-implemented method includes controlling the vehicle based on the first processed data and the second processed data.
-
公开(公告)号：US20220269921A1
公开(公告)日：2022-08-25
申请号：US17649791
申请日：2022-02-02
发明人： Igor Kossaczky , Sven Labusch , Mirko Meuter
摘要： Provided is a method and system for tracking a motion of information in a spatial environment of a vehicle. Sensor-based data regarding the spatial environment is acquired for a plurality of timesteps, the sensor-based data defining the information in spatially resolved cells. For each of the timesteps, the sensor-based data is input into a recurrent neural network, RNN, having one or more internal memory states. For each of the timesteps, the internal states of the RNN are transformed by using a motion map describing a speed and/or a direction of motion of the information of the spatially resolved cells individually. For each of the plurality of timesteps, the transformed internal states are used in a processing of the RNN to track the motion of the information in the environment of the moving vehicle.
-
公开(公告)号：US20220244383A1
公开(公告)日：2022-08-04
申请号：US17649666
申请日：2022-02-01
发明人： Yu Su , Mirko Meuter
摘要： Provided is a method for object detection in a surrounding of a vehicle using a deep neural network, comprising: inputting a first set of sensor-based data for a first Cartesian grid having a first spatial dimension and a first spatial resolution into a first branch of the deep neural network; inputting a second set of sensor-based data for a second Cartesian grid having a second spatial dimension and a second spatial resolution into a second branch of the deep neural network; providing an interaction between the first branch of the deep neural network and the second branch of the deep neural network at an intermediate stage of the deep neural network; and fusing a first output of the first branch of the deep neural network and a second output of the second branch of the deep neural network to detect the object in the surrounding of the vehicle.
-
公开(公告)号：US20230003869A1
公开(公告)日：2023-01-05
申请号：US17810122
申请日：2022-06-30
发明人： Christian Prediger , Mirko Meuter
IPC分类号： G01S13/42 , G01S13/931
摘要： A computer implemented method for radar data processing includes the following steps carried out by computer hardware components: acquiring radar data from a radar sensor mounted on a vehicle; determining at least one of a speed of the vehicle or a steering wheel angle of the vehicle; and determining a subset of the radar data for processing based on the at least one of the speed of the vehicle or the steering wheel angle of the vehicle.
-
公开(公告)号：US20220114489A1
公开(公告)日：2022-04-14
申请号：US17495332
申请日：2021-10-06
发明人： Jittu Kurian , Jan Siegemund , Mirko Meuter
IPC分类号： G06N20/00
摘要： A computer-implemented method for training a machine-learning method comprises the following steps carried out by computer hardware components: determining measurement data from a first sensor; determining approximations of ground truths based on a second sensor; and training the machine-learning method based on the measurement data and the approximations of ground truths; wherein approximations of ground truths of lower-approximation quality have a lower effect on the training than approximations of ground truths of higher-approximation quality.
-
-
-
-
-
-
-
-
-
搜索结果
17 条记录 (耗时 0.014 秒)