Neusoft Corporation

Alpine Electronics, Inc.

Neusoft Reach Automotive Technology (shanghai) Co., Ltd.

Technology (shanghai) Co., Ltd.

Neusoft Reach Automotive Technology (shenyang) Company

Huai Yuan

Wei Liu

Bobo Duan

Chengwei Duan

Hao Chen

Yingfang Du

Ting Zhou

Shanghai Su

Hongfei Yu

Jin Lv

Yingying Zhang

Bing Yu

Feng Gao

Na Zhou

Wenjing Bai

Chunyan Song

Yizhong Fan

Liying Chai

Pengyu Fu

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.

Method and apparatus for vehicle position detection

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.

Method, apparatus and device for detecting lane lines

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.

Method and apparatus for detecting target object in blind area of vehicle

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.

Method and apparatus for detecting generalized passerby by utilizing features of a wheel and upper body

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.

Method and apparatus for detecting obstacle based on monocular camera

A barrier partitioning method and device are used for partitioning a barrier area from an image. The method includes: performing edge detecting and partitioning blocks to the image to obtain multiple edge image blocks; performing beeline detection to each edge image block to obtain beelines respectively; for each beeline, determining the line direction of the beeline corresponding to a standard road plane, and determining the edge image block to be a barrier block according to the line direction; forming all the determined barrier blocks to be a barrier area according to a connection principle.

Method and device for partitioning barrier

A method for identifying barriers in images is disclosed. In the method, images of a current frame and N frame which is nearest to the current frame are obtained, the obtained images of the frames are divided in the same way, and the image of each frame obtains a plurality of divided block regions; the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame is calculated; whether each block region in the image of the current frame is decided successively according to the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame; the barriers in the images are determined according to each block region.

Method and apparatus for identifying obstacle in image

A method for segmenting an object region of interest from an image includes detecting each corner in a captured image; acquiring edges of the object from the captured image based on the detected corners; clustering the detected corners based on corners on the acquired edges; and segmenting the image region in the captured image formed by the clustered corners as a region of interest that likely includes the object. With this method and apparatus for the method, an object region of interest may be segmented from an image without utilizing features such as an object shadow and edges.

Method and apparatus for segmenting an object region of interest from an image

A method and apparatus for detecting vehicle headlights and a region-of-interest (ROI) segmenting method and apparatus are disclosed. The ROI segmenting method includes: performing an edge extracting operation on a captured image to obtain edges of the captured image; selecting edges meeting predetermined criteria from the obtained edges, the predetermined criteria being the similarity between the region surrounded by the selected edges and the pattern formed by a vehicle headlight in physical reality at a position of the selected edges; determining the region surrounded by the selected edges within the captured image as a vehicle headlight pattern; and segmenting the ROI which potentially includes the vehicle pattern from the captured image based on the determined vehicle headlight pattern. With such a method and apparatus, the ROI of a vehicle may be acquired from the image without using the vehicle's bottom shadow.

Vehicle headlight detecting method and apparatus, and region-of-interest segmenting method and apparatus

A method and apparatus for partitioning an object from an image, such that substantially the entire object is contained in the partitioned region, includes pre-setting a reference width for the object; extracting a shadow underneath the object from the image and determining a candidate region containing the object in the image based on the extracted shadow underneath an object in the image; acquiring an imaging width of the reference width at the location of the extracted shadow underneath the object in the image, and adjusting the candidate region based on the imaging width of the reference width such that the adjusted candidate region substantially completely contains the object; and partitioning the adjusted candidate region as a region containing the object from the image.

Method and apparatus for partitioning an object from an image

In a method and apparatus for determining a classification boundary between an object, such as a vehicle, and a background, using an object classifier, a trained classifier is configured to classify and recognize each of a plurality of object images and a plurality of background images. Next, a confidence probability density distribution function is calculated for the vehicle and the background using the determined confidence values for the vehicle images and background images. Once the probability density distribution functions for the vehicle and the background are calculated, the classification boundary between the vehicle and the background is determined using the probability density distribution functions for the vehicle or the background, or both, and a predefined model that is appropriate.

Growing community of inventors

Shenyang, China

Huai Yuan