This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

In recent years, Light Detection and Ranging (LiDAR) has been drawing extensive attention
both in academia and industry because of the increasing demand for autonomous vehicles …

Visual localization is the task of accurate camera pose estimation in a known scene. It is a
key problem in computer vision and robotics, with applications including self-driving cars …

Unlike its image based counterpart, point cloud based retrieval for place recognition has
remained as an unexplored and unsolved problem. This is largely due to the difficulty in …

Recently, deep learning based point cloud descriptors have achieved impressive results in
the place recognition task. Nonetheless, due to the sparsity of point clouds, how to extract …

Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …

In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …

We tackle the problem of place recognition from point cloud data and introduce a self-
attention and orientation encoding network (SOE-Net) that fully explores the relationship …