![]() ![]() ![]() Simply put, the sensors and software allow AVs to make safe journeys. Autonomous driving systems are algorithmically designed, and rely upon sensors and embedded software for localisation, perception, motion planning, and execution. Motion planning and controlling an AV is a challenging feat. With more money and resources being invested into what are now, seemingly, the cars of the future, simulation will play a crucial role in ensuring these vehicles are safe and ready for the road. This scrutiny is understandable, and it’s clear that although the industry has greatly progressed with the development of AVs, there is still a way to go. In recent years, issues with motion control have been reported, leading to criticisms surrounding safety. However, there is also an air of controversy surrounding AVs. Therefore, considering the British Government’s aim to phase out the sale of new petrol and diesel cars by 2030 – and for all new cars be zero emission by 2035 – an increase in consumer demand is unsurprising. Additionally, because they better comply with stringent environmental laws, they are favoured in discussions surrounding the global mission to reduce the impact of climate change. ![]() As one of the sector’s most exciting innovations, autonomous vehicles (AVs) are experiencing a growth in consumer demand – in the UK, the AV industry is predicted to be worth £42 billion.ĪVs are favoured for their sustainability, as they can only be developed as either hybrid or electric vehicles. The automotive industry has undergone periods of immense change, but the 21st century has brought extensive developments in safety and – more recently – sustainability. Dr Christophe Bianchi explains why simulation is crucial to ensuring safety and sustainability ![]()
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