Continuous Connectivity
Handover situations, such as present in infrastructure-supported cooperative perception use cases such as automated valet parking (AVP) or camera-equipped intersections, are especially taxing with respect to enabling reliable and timely data exchange. The mobile nature of vehicles inherently leads to the need for roaming across multiple access points (APs), as shadowing by stationary (e.g., walls, vegetation, …) and dynamic (e.g., other vehicles, …) obstacles will occur frequently, especially in case high-data rate technologies are used. This is already the case if small messages are exchanged, and becomes even more challenging if large object data streams with stringent real-time and reliability constraints are considered. Nevertheless, reliable and continuous sample exchange needs to be ensured in order to enable the corresponding use cases.
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Continuous Multi-Access Communication for Large Object Streams
To address the issues of traditional handover mechanisms and enable continuous connectivity for applications streaming large data objects a continuous connectivity approach has been developed.
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Continuous Connectivity Testbed
Autonomous mobile robots (AMRs) in the industrial domain and future connected vehicle use cases demand continuous, low-latency streaming of large (sensor) data. However, the inherent mobility of those systems causes handover delays, and thus connectivity issues, thereby leading to stream disruptions (deadline violations) and seriously compromising application performance. We present a physical testbed designed to demonstrate and evaluate such roaming situations. Furthermore, we show that continuous low-latency streaming is possible under such circumstances given proper choice of protocols, without relying on inefficient redundant data transmissions.
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