This special issue of Computing addresses recent advances for autonomous vehicles in the Digital Continuum encompassing the Edge, Fog, and Cloud Computing. Topics of interest include, but are not limited to:

• Workload characterization and benchmarks for autonomous vehicles to be used in heterogeneous platforms.
• Special accelerator architectures and microarchitectures to be used on the Edge.
• Resource allocation approaches for autonomous vehicle computation needs.
• Scheduling heuristics and run time environment solutions to achieve better throughput in computing systems with different constraints.
• Framework and prototype experiences with integration of specialized components.
• Testbed implementations with heterogeneous computing resources for autonomous vehicles.
• Memory system design for specialized hardware.
• System impact of offloading computation including interconnect technology, bandwidth, and data processing.
• Programmability of heterogeneous hardware resources with variable distances.
• Techniques to facilitate configurability or configurable solutions.
• System evaluation and analysis of specialized platforms.