Integral three-dimensional color laser radar data point cloud generating method and device thereof

Abstract

The invention solves the problems such as feature extraction, asynchronization and synchronization, feature relevance and data difference value to fuse visual data and laser radar data so as to generate three-dimensional color depth image data, namely a three-dimensional color laser data point cloud, thereby providing precise distance information and rich environment information, effectively overcoming the defects of the traditional laser radar and the visual sensor in the aspects of robustness, information amount, precision and cost. The invention integrates a two-dimensional laser radar, a monocular vision sensor, an inertial navigation data measuring unit, a driving motor and the like into an information fusion-based three-dimensional color laser radar integral unit with universal applicability and high precision, and utilizes inertial navigation data and visual data to perform secondary alignment on laser radar data, the structure is simple, equipment does not need to be subjected to precise calibration, the performance is reliable and stable, the practicability is strong, and the method and the device can be widely used in various indoor and outdoor environments under the motion condition, and have certain universal applicability.

Description

technical field [0001] The invention relates to a data point cloud generation method and a device thereof, in particular to an integrated three-dimensional color laser radar data point cloud generation method and a device thereof. Background technique [0002] Lidar and vision sensors are the most commonly used sensors in the field of mobile robot environment perception. Traditional mobile robot navigation systems use visual sensors to obtain rich environmental information, while LiDAR is used to obtain accurate distance information. Vision sensors are rich in information, but such sensors are greatly affected by environmental lighting conditions and so on. For example, good data analysis methods applied in outdoor environments will fail when applied to data acquired in indoor environments due to drastic changes in lighting conditions. At the same time, the depth information acquisition method based on visual data has high computational complexity and poor depth data accur...

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Problems solved by technology

[0003] In order to solve the problems of information volume, sensor cost and information accuracy in the prior art, the purpose of the present invention is to provide an integrated three-dimensional color laser radar data point cloud generation method and its device

[0004] The present invention solves the problems of feature extraction, asynchronous synchronization, feature association, data difference, etc., and fuses visual data and laser radar data to generate three-dimensional color depth image data, that is, three-dimensional color laser radar data point cloud, thereby providing accurate distance I

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