The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …

Autonomous vehicles rely on their perception systems to acquire information about their
immediate surroundings. It is necessary to detect the presence of other vehicles …

In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential
task for various purposes, such as traversable area detection and object recognition. Under …

Earlier work demonstrates the promise of deep-learning-based approaches for point cloud
segmentation; however, these approaches need to be improved to be practically useful. To …

Scan data of urban environments often include representations of dynamic objects, such as
vehicles, pedestrians, and so forth. However, when it comes to constructing a 3D point cloud …

We address semantic segmentation of road-objects from 3D LiDAR point clouds. In
particular, we wish to detect and categorize instances of interest, such as cars, pedestrians …

In this paper, we are presenting a short overview of the sensors and sensor fusion in
autonomous vehicles. We focused on the sensor fusion from the key sensors in autonomous …

Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …

We study the task of weakly-supervised point cloud semantic segmentation with sparse
annotations (eg, less than 0.1% points are labeled), aiming to reduce the expensive cost of …

Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …