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Sensor placement on the robotic vehicle. The vehicle is categorized as a nonholonomic unicycle since it has motorized rear wheels and omnidirectional front wheels.

Sensor placement on the robotic vehicle. The vehicle is categorized as a nonholonomic unicycle since it has motorized rear wheels and omnidirectional front wheels.

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Preprint
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We present DeepIPCv2, an autonomous driving model that perceives the environment using a LiDAR sensor for more robust drivability, especially when driving under poor illumination conditions. DeepIPCv2 takes a set of LiDAR point clouds for its main perception input. As point clouds are not affected by illumination changes, they can provide a clear o...

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Context 1
... by a built-in IMU-based odometry algorithm embedded in the robotic vehicle. Meanwhile, as the ground truth for the navigational control estimation task, we use the record of steering and control levels at the time. The devices used to retrieve observation data are mentioned in Table I. Meanwhile, how they are mounted on the vehicle can be seen in Fig. ...
Context 2
... by a built-in IMU-based odometry algorithm embedded in the robotic vehicle. Meanwhile, as the ground truth for the navigational control estimation task, we use the record of steering and control levels at the time. The devices used to retrieve observation data are mentioned in Table I. Meanwhile, how they are mounted on the vehicle can be seen in Fig. ...

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