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This work applies the risk analysis method Hazard and Operability study (HAZOP) to LiDAR sensors and connects it with an existing camera-based HAZOP. This ...
This work shows a systematic approach toward identify- ing potential performance-reducing conditions (called haz- ards) which may impact both camera and LiDAR ...
This work applies the risk analysis method Hazard and Operability study (HAZOP) to LiDAR sensors and connects it with an existing camera-based HAZOP.
This work applies the risk analysis method Hazard and Operability study (HAZOP) to LiDAR sensors and connects it with an existing camera-based HAZOP. This ...
Sensor fusion of camera-based sensors and LiDAR is widely used in autonomous systems with the premise of in- creased robustness. Contrarily, due to their ...
Combining LiDAR and cameras ensures accurate and stable environment perception [1] . During the multimodal data fusion process, the calibration matrix assumes a ...
A mathematical model was constructed for joint LiDAR–camera calibration. A detailed analysis of the working principles and data characteristics of cameras and ...
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Joint Camera and LiDAR Risk Analysis by Oliver Zendel, Johannes Huemer ... Table 1 includes data characteristics and specification of autonomous driving datasets ...
... Joint Camera and LiDAR Risk Analysis. In: Proc. of CVPRW. pp. 88–97. Vancouver, Canada. (Jun 2023) 2. 36. Zhang, C., Zhang, C., Guo, Y., Chen, L., Happold, M ...
We propose a deep learning-based calibration model named “DPCalib”, which is named for dual-perspective view network for LiDAR-camera joint calibration.