Patents Assigned to Neusoft Corporation
  • Patent number: 10896626
    Abstract: The present disclosure relates to a method, a computer readable storage medium and electronic equipment for analyzing driving behavior. The method comprises: acquiring image information in a running process of a target vehicle; acquiring time series data in the running process according to the image information; and acquiring a target driving behavior score for the running process according to the time series data.
    Type: Grant
    Filed: March 2, 2018
    Date of Patent: January 19, 2021
    Assignee: NEUSOFT CORPORATION
    Inventors: Michael Zhang, Murphy Yang, Jian Yao
  • Patent number: 10783657
    Abstract: A method and an apparatus for vehicle position detection are provided. An image collecting device installed on a target vehicle is used to capture a region in front of the target vehicle at a current moment under a fixed viewing angle, to acquire a real image. Then, a virtual image under a preset viewing angle is generated based on the real image. The virtual image includes effective features of a side vehicle, and the side vehicle is accurately recognized based on the effective features, thereby determining position information of the side vehicle, so as to prevent accidents such as a collision between the target vehicle and the side vehicle.
    Type: Grant
    Filed: August 25, 2018
    Date of Patent: September 22, 2020
    Assignees: NEUSOFT CORPORATION, NEUSOFT REACH AUTOMOTIVE TECHNOLOGY (SHANGHAI) CO.
    Inventors: Wei Liu, Ting Zhou, Huai Yuan, Jin Lv, Hao Chen, Yizhong Fan
  • Patent number: 10748013
    Abstract: A method and an apparatus for detecting a road lane are provided. The method includes acquiring a current road image of a road around a vehicle and inputting the current road image into a deep learning model and detecting a road lane region in the current road image based on a result outputted from the deep learning model. The deep learning model includes a first model device and a second model device. The first model device includes at least one first model subdevice which includes a convolutional neural network and a first recurrent neural network, and the second model device includes at least one second model subdevice which includes a deconvolution neural network and a second recurrent neural network.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: August 18, 2020
    Assignee: Neusoft Corporation
    Inventors: Huan Tian, Jun Hu, Shuai Cheng, Wei Liu
  • Patent number: 10407065
    Abstract: A method, a device and an apparatus for planning a vehicle speed are provided. The method includes: determining initial planning speeds at a target path point and a reference path point based on curvature radiuses of a target front road and a reference front road, such that first and second lateral accelerations are not greater than a lateral acceleration threshold; and determining a target longitudinal acceleration and a target planning speed at the target path point based on the initial planning speeds at the target path point and the reference path point and a reference journey, such that the target longitudinal acceleration is in a defined range. Therefore, a vehicle can drive based on the target planning speed and the target longitudinal acceleration at the target path point, thereby avoiding drastic deceleration and lateral offset, improving driving safety of the vehicle and riding comfort and saving energy.
    Type: Grant
    Filed: June 9, 2017
    Date of Patent: September 10, 2019
    Assignees: NEUSOFT CORPORATION, NEUSOFT REACH AUTOMOTIVE TECHNOLOGY (SHANGHAI) CO., LTD
    Inventors: Wei Liu, Cheng Chi, Guangsheng Zhang, Lu Wei, Wanli Ma
  • Patent number: 10237289
    Abstract: The present disclosure provides a method and a device for detecting network intrusion. The method includes: obtaining a feature vector of a network flow to be detected; and detecting the feature vector using a deep neural network, and determining a network intrusion category of the network flow to be detected, in which the deep neural network is generated by training with training data, the training data includes feature vectors of normal samples and feature vectors of attack samples, the attack samples include original attack samples and generated attack samples by adding noise to the original attack samples. The method can improve an ability to identify unknown attacks and a normalization ability of known attacks.
    Type: Grant
    Filed: September 7, 2017
    Date of Patent: March 19, 2019
    Assignee: Neusoft Corporation
    Inventor: Qiang Du
  • Patent number: 10217005
    Abstract: Provided is a method for generating target detection information, including detecting target objects around the vehicle by multiple different types of sensors, and determining the detection targets representing a same target object, detected by the different types of sensors, by spatial position and time tracing. With taking the target object as the detection result, the target detection information generated for the detection result includes a spatial matching confidence of the detection result in the current detection period, a time matching confidence of the detection result, and target detection information on each of the detection targets representing the detection result, collected by the sensor detecting the detection target in a dimension corresponding to the sensor.
    Type: Grant
    Filed: June 21, 2017
    Date of Patent: February 26, 2019
    Assignees: NEUSOFT CORPORATION, NEUSOFT REACH AUTOMOTIVE TECHNOLOGY (SHANGHAI) CO., LTD.
    Inventors: Wei Liu, Xin Yang, Lu Wei
  • Publication number: 20190050711
    Abstract: The present disclosure relates to method, storage medium and electronic device for detecting vehicle crashes. The method comprises: acquiring state information of a target vehicle; and determining an event type of the target vehicle according to the state information and a trained convolutional neural network, the event type being any of the following types: a crash event, a near crash event and a baseline event. The event type of the vehicle is determined using the trained convolutional neural network in the present disclosure, so that the accuracy is high; and near crash events can be detected, thus, when a near crash event is detected, the driver can be further alerted or an evading operation is directly performed on the vehicle, so that the safety is improved and the safety of the driver and passengers is guaranteed.
    Type: Application
    Filed: December 29, 2017
    Publication date: February 14, 2019
    Applicant: NEUSOFT CORPORATION
    Inventors: Jian YAO, Michael Zhang, Lili Xu
  • Patent number: 10140529
    Abstract: A method for detecting a lane line is provided. The method includes: determining candidate lane line regions in a lane image by filtering the lane image; extracting center points for each candidate lane line region; obtaining a fitting curve of each candidate lane line region by performing curve fitting on the center points of each candidate lane line region; classifying the candidate lane line regions as rectilinear and curvilinear candidate lane line regions according to a slope angle of the fitting curve of each candidate lane line region; dividing the candidate lane line regions into groups based on the classifying result; and determining two groups, which meet a first predetermined condition, as target groups, and recognizing candidate lane line regions in the target groups as lane line regions. Besides, an apparatus and a device for detecting a lane line are further provided.
    Type: Grant
    Filed: November 25, 2016
    Date of Patent: November 27, 2018
    Assignees: NEUSOFT CORPORATION, TECHNOLOGY (SHANGHAI) CO., LTD.
    Inventors: Wenjing Bai, Yingfang Du, Wei Liu, Huai Yuan
  • Patent number: 10133941
    Abstract: A method, an apparatus and a device for detecting lane boundaries are provided. The method includes: obtaining a current image of a lane, and extracting brightness jump points in the image by filtering the image; filtering out noise points from the brightness jump points, and determining remaining brightness jump points as edge points to form groups of the edge points, where a connection line of edge points in the same group forms one edge line; recognizing edge lines of the lane boundaries from edge lines; and grouping the edge lines of the lane boundaries, and recognizing edge lines in each group as edge lines of one lane boundary. Based on the method, a calculation for detecting the lane boundaries is simpler, and calculation resources and time consumed in detecting the lane boundaries are reduced to detect the lane boundaries accurately and quickly.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: November 20, 2018
    Assignees: NEUSOFT CORPORATION, NEUSOFT REACH AUTOMOTIVE TECHNOLOGY (SHANGHAI) CO., LTD.
    Inventors: Jiatong Zheng, Yingfang Du, Wei Liu
  • Publication number: 20180329769
    Abstract: A method for detecting anomalies in time series, a computer readable storage medium and an electronic device. An example method comprises: obtaining current metrical data; obtaining a time series set corresponding to the current metrical data; for each time series in the time series set, judging whether a memory nerve cell used for recording the time series exists; activating the memory nerve cell when the existence of the memory nerve cell is judged; allocating a memory nerve cell to the time series so as to record the time series when the absence of the memory nerve cell is judged, and activating the allocated memory nerve cell; and determining whether the current metrical data is abnormal at least according to the activated memory nerve cells.
    Type: Application
    Filed: October 13, 2017
    Publication date: November 15, 2018
    Applicant: NEUSOFT CORPORATION
    Inventors: Muxin SUN, Zifan SHI, Li XU, Xia ZHANG
  • Publication number: 20180186373
    Abstract: A method, a device and an apparatus for planning a vehicle speed are provided. The method includes: determining initial planning speeds at a target path point and a reference path point based on curvature radiuses of a target front road and a reference front road, such that first and second lateral accelerations are not greater than a lateral acceleration threshold; and determining a target longitudinal acceleration and a target planning speed at the target path point based on the initial planning speeds at the target path point and the reference path point and a reference journey, such that the target longitudinal acceleration is in a defined range. Therefore, a vehicle can drive based on the target planning speed and the target longitudinal acceleration at the target path point, thereby avoiding drastic deceleration and lateral offset, improving driving safety of the vehicle and riding comfort and saving energy.
    Type: Application
    Filed: June 9, 2017
    Publication date: July 5, 2018
    Applicants: NEUSOFT CORPORATION, NEUSOFT REACH AUTOMOTIVE TECHNOLOGY (SHANGHAI) CO. LTD.
    Inventors: Wei Liu, Cheng Chi, Guangsheng Zhang, Lu Wei, Wanli Ma
  • Publication number: 20180115568
    Abstract: The present disclosure provides a method and a device for detecting network intrusion. The method includes: obtaining a feature vector of a network flow to be detected; and detecting the feature vector using a deep neural network, and determining a network intrusion category of the network flow to be detected, in which the deep neural network is generated by training with training data, the training data includes feature vectors of normal samples and feature vectors of attack samples, the attack samples include original attack samples and generated attack samples by adding noise to the original attack samples. The method can improve an ability to identify unknown attacks and a normalization ability of known attacks.
    Type: Application
    Filed: September 7, 2017
    Publication date: April 26, 2018
    Applicant: Neusoft Corporation
    Inventor: Qiang Du
  • Patent number: 9904856
    Abstract: A method for detecting a target object in a blind area of a vehicle is provided by embodiments of the application. The method includes: acquiring at least one frame of an image generated by shooting a blind area of a vehicle by a shooting device; extracting an image feature of an area where at least one predetermined detection gate is located in the image; and matching the image feature of the area where the predetermined detection gate is located with a matching template of the predetermined detection gate to determine a target object. An apparatus for detecting a target object in a blind area of a vehicle is further provided by embodiments of the application.
    Type: Grant
    Filed: March 2, 2015
    Date of Patent: February 27, 2018
    Assignee: NEUSOFT CORPORATION
    Inventors: Wei Liu, Chengwei Duan, Huai Yuan
  • Patent number: 9891823
    Abstract: A system for securely entering particular information includes a mobile device and a background server. The mobile device includes a first area which is a non-secure environment, a second area which is a secure environment and a switching module implementing switchings between the first and second areas. At least one first application module for executing a business function application is provided in the first area. A second application module for executing a particular information entering application and an encryption module for encrypting entered particular information are provided in the second area. If a particular information entering is required by the first application module, the switching module triggers the second application module to perform the particular information entering, and returns, to the first application module, an encryption result obtained by encrypting the entered particular information.
    Type: Grant
    Filed: October 29, 2014
    Date of Patent: February 13, 2018
    Assignee: NEUSOFT CORPORATION
    Inventors: Xishun Feng, Zhijian Zhang, Jun Li, Jun Wang, Qingyang Meng, Fuyang Liu
  • Patent number: 9519831
    Abstract: A method for detecting a generalized passerby includes: acquiring an input image; determining whether a preset common feature of a wheel exists in the input image; selecting an image window at left side or right side or upper side of a center of a region where the preset common feature of the wheel is located in a case that the preset common feature of the wheel exists in the input image; inputting the selected image window into a preset upper-body classifier; detecting whether an upper body of a passerby exists in the selected image window and outputting a first detection result.
    Type: Grant
    Filed: December 8, 2014
    Date of Patent: December 13, 2016
    Assignee: NEUSOFT CORPORATION
    Inventors: Wei Liu, Chengwei Duan, Liying Chai, Bing Yu, Huai Yuan
  • Patent number: 9521317
    Abstract: Method and apparatus for detecting obstacle based on monocular camera are provided. The method includes: obtaining a target frame image and its adjacent frame image shot by the monocular camera; deleting an unstable feature point from an initial feature point set of the adjacent frame image to obtain a preferred feature point set; dividing a target feature point set to obtain several target feature point subsets; judging whether the target feature point subset corresponds to obstacle based on a change of a distance between points within a ground projection point set of the target feature point subset from adjacent frame time instant to target frame time instant; and determining a union of all the target feature point subsets which are judged as corresponding to obstacles as an obstacle point set of the target frame image.
    Type: Grant
    Filed: March 31, 2015
    Date of Patent: December 13, 2016
    Assignee: NEUSOFT CORPORATION
    Inventors: Hongfei Yu, Wei Liu, Huai Yuan
  • Patent number: D795903
    Type: Grant
    Filed: March 15, 2016
    Date of Patent: August 29, 2017
    Assignee: Neusoft Corporation
    Inventors: Xiangpeng Chen, Qizhen Pei, Qianhui Guo, Geng Wang, Hongliang Pang, Qian Zhang
  • Patent number: D795904
    Type: Grant
    Filed: March 15, 2016
    Date of Patent: August 29, 2017
    Assignee: Neusoft Corporation
    Inventors: Qizhen Pei, Xiangpeng Chen, Qianhui Guo, Geng Wang, Hongliang Pang, Qian Zhang
  • Patent number: D795905
    Type: Grant
    Filed: March 15, 2016
    Date of Patent: August 29, 2017
    Assignee: Neusoft Corporation
    Inventors: Geng Wang, Qianhui Guo, Qizhen Pei, Xiangpeng Chen, Hongliang Pang, Qian Zhang
  • Patent number: D805091
    Type: Grant
    Filed: March 15, 2016
    Date of Patent: December 12, 2017
    Assignee: Neusoft Corporation
    Inventors: Qianhui Guo, Qizhen Pei, Xiangpeng Chen, Geng Wang, Hongliang Pang, Qian Zhang