| dc.description.abstract | Autonomous vehicles will play a bigger role in the future. In a real-life application, an autonomous vehicle can be used by a passenger to reach a destination autonomously with necessary maneuverings. The autonomous vehicle includes multiple computing devices that can be easily operated by users using input buttons. Thus communicating requests from human to machine and initiating a trip to the destination would be convenient, secure, and easy. The human-to-machine instructions provide multiple facilities to the users including emergency stop, start, speed control, emergency message conveyer, and timed operations. However, the user inputs and control of steering, acceleration, and deacceleration are very limited. In this chapter, the importance of blockchain technology for autonomous vehicles is explored. This study analyzes the data received from system perception, planning, movement, and decision-making for autonomous vehicles. Blockchain technology provides immutability, transparency and security measurements that can guarantee performance and safety under all driving circumstances. For example, data collection and storage in a blockchain network can provide a planned method that can further ensure safe and system-compliant performance in complex and dynamic environments. This work emphasizes the recent blockchain-based approaches for integrating perception and planning for end-to-end communication, verification, and safety processes and managing fleets of autonomous vehicles. Further, blockchain integrated autonomous vehicle’s movement-based use cases are presented for multiple applications. These real-time applications realize the importance of autonomous vehicles in-vehicle networks. These use cases present the requirements of advancements in many aspects of vehicle autonomy: for example, the vehicle’s design to control the operations, plan the movement, and coordinate with other vehicles; the human-to-machine instructions and interactions; human perceptions in real-time implementation; and vehicle state driving. Finally, future research directions and open challenges are highlighted for future readers. | en_US |
