The evidential sensor model interprets the data acquired from the Velodyne and successively maps it to a Carthesian evidential grid using a fusion process based ...

Dec 23, 2014 · This paper proposes an inverse evidential model for the. Velodyne in order to exploit its measurements in a 2D occupancy grid mapping framework.

We consider that a representation of the drivable area should only be generated by fusing actual observations, without any upsampling nor downsampling.

The evidential sensor model interprets the data acquired from the Velodyne and successively maps it to a Carthesian evidential grid using a fusion process based.

Experimental results prove that this approach can handle efficiently the uncertainties of the Velodyne sensor and thus a highly reliable local reference map ...

An evidential sensor model to transform raw Velodyne data into local scan grid maps. Based on the least commitment principle, the model provides grid state ...

An evidential sensor model that interprets the data acquired by the Velodyne to a 2D occupancy grid map is conceived. The information from the sensor is ...

A. Evidential grid mapping from LIDAR scans Yu et al. [1] originally proposed an evidential sensor model to build polar occupancy grids from LIDAR scans.

Sep 4, 2014 · Figure 2: Sensor model for the scan grid construction process. Top, bird view of the host vehicle, x represents the motion direction. Middle ...

This work focuses on LiDAR scan rendering into Cartesian occupancy grids and evaluates the results from an object detection perspective in the field of ...