LiDAR: Its Application in Advanced Driver Assistance System

Dear Colleagues,

Advanced driver-assistance systems (ADAS) are systems developed to automate/adapt/enhance vehicle systems for safety and better driving. Safety features are designed to avoid collisions and accidents by offering technologies that alert the driver to potential problems, or to avoid collisions by implementing safeguards and taking over control of the vehicle. Adaptive features may provide adaptive cruise control, automate emergency braking, automate lighting, alert driver to other cars or dangers, keep the driver in the correct lane, or show objects in blind spots.

ADAS utilizes inputs from multiple data sources, including automotive imaging, LiDAR (Light Detection and Ranging), radar, GPS, IMUs. LIDAR becomes increasingly popular in ADAS domain due to its several key advantages. It provides highly-accurate data at day and night time when compared to traditional photogrammetric techniques. Lidar does not have any geometric distortions like side-looking radar. In addition, it can be integrated with other data sources.

This Special Issue is aimed at providing the community with novel algorithms, methods, applications of LIDAR in ADAS. Manuscripts are solicited to address a wide range of topics on applications of LIDAR in ADAS, including, but not limited to, the following:

• LIDAR data processing

• Road detection/tracking

• Pedestrian detection/tracking

• 3D point cloud classification/labeling

• Obstacle detection

• Multi-modal learning algorithms

• Object segmentation

• Lane detection/tracking

• Obstacle avoidance

• Data fusion for ADAS

• Mapping

• Localization

Prof. Fatih Porikli
Dr. Mehmet Kemal Kocamaz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Advanced driver-assistance systems (ADAS)

• Computer Vision

• Machine Learning

• LIDAR Data Processing

• Obstacle Detection

• Obstacle Avoidance

• Localization and Mapping

• Driver Safety

• Autonomous Vehicles

• Intelligent Cars