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The 3-D LiDAR scanner and the 2-D charge-coupled device (CCD) camera are two typical types of sensors for surrounding-environment perceiving in robotics or autonomous driving. Commonly, they are jointly used to improve perception accuracy by simultaneously recording the distances of surrounding objects, as well as the color and shape information. In this paper, we use the correspondence between a...
East-ADL is an architectural description language dedicated to safety-critical automotive embedded system design. We have previously modified East-adl to include energy constraints and transformed energy-aware real-time behavioral constraints in East-adl into analyzable Uppaal models. In this paper, we extend our previous work by including support for Stateflow, which is used to design event-driven...
In this paper we focus on what meaningful 2D perceptual information we can get from 3D LiDAR point cloud. Current work [1] [2] [3] have demonstrated that the depth, height and local surface normal value of a 3D data are useful features for improving Deep Neural Networks (DNNs) based object detection. We thus propose to organise LiDAR point as three different maps: dense depth map, height map and surface...
Vehicle detection at night time is of great importance for applications toward advanced driver assistance system. In this paper, we propose a method using deformable parts model for night time vehicle detection. Before detection, we use Nakagami distribution to find the regions of saliency. After that, we consider the regions in which pairs of regions of saliency are almost at the same horizontal...
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