During the past decades, intelligent vehicles (ADAS and autonomous driving) have obtained more and more attentions and developments from both research society and industry community. One of the necessary components to develop ADAS systems and/or driverless cars is perception of the surrounding vehicle environment. In intelligent vehicles, perception systems are able to sense and interpret surrounding environment based on various kinds of sensors, such as radar, sonar sensors, 2D/3D lidar, monocular/binocular/omnidirectional vision system, and inertial sensors. The perception systems provide and process sensed information for representing dynamically the content of the surrounding environment (detection, tracking, and recognition of static and dynamic objects). Therefore, they are of the most importance in intelligent vehicles since their outputs are required to make decision for driver assistance and/or vehicle control in complex environment. This special issue aims at exhibiting the latest research achievements, in intelligent vehicles perception systems.

Potential topics include, but are not limited to:

• Sensors calibration methods
• Sensor fusion and information integration
• Sensors-based vehicle localization in GPS denied environment
• Sensors-based localization and SLAM
• Sensors-based object detection and tracking
• Sensors-based scene analysis and understanding