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Various three-dimensional environment representation techniques exist depending on the type of sensor, and the level of expression varies depending on the characteristics of the sensor. Our sensor system is composed of a three-dimensional lasers scanner and a stereo camera. A rigid transformation matrix representing a three-dimensional relative pose is obtained by calibration between a stereo camera...
This paper proposes a front object recognition system for the safety of driving, which is based on sensor fusion with laser range finder and stereo vision. The study utilizes a stereo vision system for objects detection. Since the calculation time of the stereo vision algorithm is too long, in order to detect objects immediately, a laser range finder is integrated to improve the calculation time and...
In this paper, we discuss how to determine the position of the leader for leader-following formation control. In order to prepare the fusion of laser and camera, we complement each other's strengths and weaknesses. And we proposed using a gimbal to eliminate the vibration that makes both sensors unreliable.
One of the main problems of binary classification of overlapping distributions is that there always exist misclassification errors with any value of threshold. In this paper, we propose a novel lazy decision approach for robust object detection and tracking, where decision on an uncertain observation whose evaluation lies between low and high thresholds is postponed until a clear evidence appears...
Three-dimensional mobile mapping in indoor environment, mostly global navigation satellite system-denied space, is to consecutively align the frames to build a global 3-D map of an indoor environment. One of the major difficulties of the current solutions is the failure at the insufficient overlapping between the frames, which is the reality of a lack of correspondences between the frames. To overcome...
The presented work goes one step further than only combining data from different sensors. The corresponding points of an image and a 3D point cloud are determined through calibration. Color information is thereby assigned to every voxel in the overlapping area of a stereo camera system and a laser range finder. Then we analyze the image and search for the locations, which are especially susceptible...
In this paper, we proposed a pedestrian detection system based on laser and image data fusion. The high speed of laser data based location and precise of image based classification are fully explored. First, laser scanner point data is clustered into segments, each of which implies a pedestrian candidate. Then, the segments are projected to the image domain to form regions of interest (ROI) on the...
In this paper we have developed a technique for low level data fusion between laser and monocular color camera using occupancy grid framework in the context of internal representation of external environment for object detection. Based on a small variant of background subtraction technique we construct an occupancy grid for camera and fuse it with the one constructed for laser to get a combined view...
Intelligent Service Robot (ISR) has become increasingly noticed because of new devices and novel technologies that make ISR a truly handy human aid in areas like medical care, security patrol, tour guide and edutainment. Therefore, how to provide an applicable map for ISR to autonomously navigate inside a building for task execution becomes an imminent issue. This paper investigates an information...
This paper proposes multi sensor fusion based on an effective calibration method for a perception system designed for mobile robots and intended for later object recognition. The perception system consists of a camera and a three-dimensional laser range finder. The three-dimensional laser range finder is based on a two-dimensional laser scanner and a pan-tilt unit as a moving platform. The calibration...
This paper provide a method for reconstruction of non-structured 3D scene both indoor and outdoor. Based on the fusion of panoramic laser and monocular vision, we use Levenberg-Marquardt method to carry out the intrinsic calibration of a camera and the extrinsic calibration between a camera and a 3D laser range finder. We use the calibration result to color the laser data, and then expand to the whole...
In order to improve the visualization effects of some areas in cyber city, it's often required to reconstruct 3D model of city statues. In this paper, we present a pipeline to build 3D city statue model of high fidelity that fusing multi-resolution LIDAR data and high-resolution digital images. Firstly, the classic ICP algorithm is used to register multi-resolution LIDAR data. Secondly, the geometric...
Trustworthy sensors are the key points regarding road safety applications. The lack of reliable sensors able to fulfil the entire requirements for these situations makes fusion schemes mandatory. A fusion scheme that uses two sensors: far infrared camera vision and a laser scanner to perform pedestrian detection is presented. Both sensors have different field of view thus different detection zones...
In urban environments, pedestrian detection is a challenging task for automotive research, where algorithms suffer from a lack of reliability due to many false detections. This paper presents a multisensor fusion method based on a stochastic recursive Bayesian framework also called particle filter which fuses information from laser and video sensors to improve the performance of a pedestrian detection...
2D laser range finders have been widely used in mobile robot navigation. However, their use is limited to simple environments containing objects of regular geometry and shapes. Stereo vision, instead, provides 3D structural data of complex objects. In this paper, measurements from a stereo vision camera system and a 2D laser range finder are fused to dynamically plan and navigate a mobile robot in...
An occupancy fusion map (OFM) approach with sensor fusion for pedestrian detection is described in this paper. This work emphasizes the idea of redundancy or/and complementary due to the different data information provided by the laser scanner and stereovision. Two approaches are presented to achieve the robust pedestrian detection result: (1) an novel method of building occupancy grid map with stereovision...
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