Page 14 - September 2018 Disruption Report Flip Book

DISRUPTION OF TRANSPORTATION SEJAPNTEUMARBYER20210818
Spaces such as retirement communities, campuses, hotel properties, and amusement parks can all benefit from the level 4 autonomy technologies. Autonomous vehicles can take many different forms, including golf carts, wheelchairs, scooters, luggage, shopping carts, garbage bins, and even boats. At CSAIL we are developing prototypes for all these types of autonomous vehicles. These technologies open the door to a vast array of new products and applications, from mobility on demand, to autonomous shopping and transportation of goods, and more efficient mobility in hospitals
While progress has been significant on the technical side, getting policy to catch up has been an understandably complex and incremental process. Policymakers are still debating the level at which autonomous vehicles should be regulated. What kinds of vehicles should be allowed on the road, and who is allowed to operate them? How should safety be tested, and by whom? How might different liability regimes shape the timely and safe adoption
of AVs, and what are the tradeoffs? What are the implications of a patchwork of state-by- state laws and regulations, and what are the trade-offs in harmonizing these policies? To what extent should policymakers encourage the adoption of AVs; e.g. through smart road infrastructure, dedicated highway lanes, manufacturer or consumer incentives? (Spaces on Wheels: Self Driving Cars and the Future of Urban Mobility, IKEA SPACE 10 Report, 09/17/18)
Advances in edge computing are addressing key problems in the connected automotive sector
“Vehicles are growing more complex with each new model and turning into full-scale computing platforms,” wrote BI Intelligent’s Peter Newman. “A typical high-end passenger vehicle could feature $6,000 of computing equipment by 2022, according to IHS Markit. By 2021, semiconductors for the automotive sector alone will make up almost 10% of global fabrication, per IC Insights estimates. And software will be nearly a third of the overall content in a vehicle by 2030, according to McKinsey.”
Autonomous vehicles create huge amounts of data, making cars and truck more efficient. These vehicles rely heavily on connectivity to transmit this data to the clouds for processing and analysis, creating added risk for cybersecurity, access issues triggered by 5G limitations, and transmission efficiency, Edge computing can help create powerful systems capable of operating securely without a network connection.
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