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• W2792398138 abstract "The use of LIDAR technology for autonomous navigation has gained prominent status over the recent years due to its sensing capability. In this paper, we present an object proposal pipeline for LIDAR point clouds catered towards the domain of autonomous vehicles. Our method is built on the assumption that the distribution of point clouds (in the nearest neighbours sense) with respect to its depth can be modelled by a linear function with added gaussian noise. Combined with our occlusion handling algorithm, we show the efficacy of our object proposal pipeline on the KITTI dataset with extremely competitive results." @default.
• W2792398138 created "2018-03-29" @default.
• W2792398138 creator A5034790981 @default.
• W2792398138 creator A5085900756 @default.
• W2792398138 date "2017-09-01" @default.
• W2792398138 modified "2023-09-25" @default.
• W2792398138 title "Lidarbox: A fast and accurate method for object proposals VIA lidar point clouds for autonomous vehicles" @default.
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• W2792398138 doi "https://doi.org/10.1109/icip.2017.8296502" @default.
• W2792398138 hasPublicationYear "2017" @default.
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