Automatic methods are needed to efficiently process the large point clouds collected using a
mobile laser scanning (MLS) system for surveying applications. Machine-learning-based …

Environment analysis of automatic vehicles needs the detection from 3-D point cloud
information. This paper addresses this task when only partial scanning data are available …

The 3-D light detection and ranging (3-D LIDAR) sensors are widely used in autonomous
vehicles; however, their drawback is the significant computation processing requirement …

Dynamic vehicle detection is of great significance for the safety of autonomous vehicles and
the formulation of subsequent driving strategies. A pose-estimation algorithm, namely, the …

Sensor fusion is one of the main challenges in self driving and robotics applications. In this
paper we propose an automatic, online and target-less camera-Lidar extrinsic calibration …

Object detections are critical technologies for the safety of pedestrians and drivers in
autonomous vehicles. Above all, occluded pedestrian detection is still a challenging topic …

In this chapter we introduce cooperating techniques for environment perception and
reconstruction based on dynamic point cloud sequences of a single rotating multi-beam …

As humans cause most severe car crashes, lawmakers have been enforcing mandatory
driver assistance systems for vehicles such as electronic stability control. Advanced driver …

In this paper various new solutions are introduced for the analysis of the dynamic 3D
environment using up-do-date sensor configurations. The paper begins with an overview on …

In this thesis novel algorithmic pipelines are introduced for four different object detection
tasks of 3-D computer vision, primarily focusing on applications from urban scene …