Advances in Automated Driving: Sensing and Control
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 20 June 2024 | Viewed by 195
Special Issue Editors
Interests: deep learning; computer vision; autonomous driving; FPGA
Interests: computational experiments; urban rail transit; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Perception systems play a key role in autonomous driving (AD). There are a wide variety of sensors included in such systems. Cameras, radars, and lidars are the most usual ones. Radars and cameras are the preferred option in the industry in order to avoid anti-aesthetic effects on cars’ appearance. The latest ones have undergone a small revolution thanks to the application of convolutional neural networks in the image processing.
The current scene-understanding technologies and methodologies depend on multiple sensor systems, and there is a broad variety of sensors. GPS, IMU, cameras, radars, and lidars are the most common, and they are based on highly complex and sophisticated algorithms, which include artificial intelligence. These sensors are used for localization (visual odometry, lidar odometry, 3D maps, map matching, etc.), perception (trajectory planning, scene understanding, traffic sign detection, drivable space detection, obstacle avoidance, etc.), and other applications.
The aim of this Special Issue is to achieve an insightful perspective on the latest works in these fields and to provide the reader with a clear picture of the advances that are on the horizon. Welcomed topics include, but are not strictly limited to, the following:
- Computer vision and image processing;
- Lidar and 3D sensors;
- Radar and other proximity sensors;
- Intelligent network vehicles;
- Vehicle intelligent detection algorithms and control;
- Automatic vehicle trajectory planning and control;
- Infrastructure ITS applications;
- Advanced driver assistance systems onboard vehicles;
- Self-driving car perception and navigation systems.
Dr. Lin Bai
Prof. Dr. Fenghua Zhu
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous driving
- computer vision
- intelligent transportation system
- vehicle localization
- lidar and 3D sensors
- advanced driver assistance systems (ADASs)
