Special Issue on Multi-Modal Sensor Technologies for Connected Vehicles and Platooning
A connected vehicle environment occurs when all vehicles within a specific region receive information about other vehicles in the immediate neighborhood and also transmit/receive information about the other vehicles. In the era of semi-autonomous and autonomous driving environments, the next generation of vehicles (e.g., two-wheeler, cars, etc.) would have multiple sensor types for collecting information. It is the process of combining data/information from multiple types of sensors derived from different sources such that the combined information has less uncertainty and very relevant information than would be possible when these sources were used individually. Multimodal fusion entails the combination of information from a set of different types of sensors. Exploiting complementary information from different sensors drastically improves the environment detection and thereby the autonomous driving performance as more sensors are used and perception ability is boosted.
Connected vehicles are extremely important for autonomous driving. The use cases of autonomous driving range from connected entertainment systems to internet-connected vehicles that have bi-directional communication with other vehicles, vehicular platooning, etc. A platoon is a group of vehicles that travel very closely together, safely, at high speed, with real-time communication and automated driving support systems. These vehicles automatically maintain a pre-defined close distance between each other and are a specific constrained use-case of a connected environment.
This special issue aims to discuss different aspects of the connected vehicular environment using multiple types of sensors. These include sensors such as: RADAR, LIDAR, camera, phased array, MEMS, seismic sensors, etc. Given that such a system requires integration of different techniques, yet functions in real-time, the computational challenges and the overall complexity of authenticated and connected vehicles would be discussed as well. This special issue aims to bring together different research, simulation, and experimental work. The topics of interest include (but are not limited to):
- Use of RADAR, LIDAR, and image processing for connected vehicles
- Multi-sensor fusion for connected vehicles
- Time synchronization for information gathering for connected vehicles
- Modeling for connected vehicle environment
- Efficient control systems for V2V and V2X
- Safety and support services for connected vehicles
- AI-based data analysis for enhanced decision making
- Development of relevant standards