Autonomous vehicles – whether for personal transport or freight delivery – could offer a potentially enormous disruption to life, business and society. The possible benefits - reductions in accidents arising from human error, reduced cost & environmental impact of transport, the liberation of time currently committed to driving, and accessibility to a wider range of users - are all theoretically addressable.
The automotive world faces many changes such as the emergence of new players, powertrain electrification, autonomous driving and increasingly draconian environmental and safety regulation.
Security is a particular concern with computer-based systems, and it underlies any other aspect of assurance because if a system is open to malicious modification, no other behavior can be relied upon. Autonomous vehicles will make mistakes that are different from those that humans make because they sense the environment differently. This has implications both for the vehicle itself (as the design must not simply seek to replicate human behavior) and for other road users (whose safety may be jeopardized by the presence of entities that don't respond as expected).
Achieving acceptable levels of safety and assurance for an autonomous vehicle will clearly demand substantial verification and validation activities. While there is clear advantage to be gained from static or mathematical methods such as modeling and simulation, a large element of dynamic testing will inevitably be required.
Altran joins its clients as an end-to-end technology integrator to accelerate these business transformations. We combine a unique set of capabilities to deliver customized, leading-edge solutions to the next generation of cars. Download this paper to read more.