Clearly, this is a hypothetical driver as human drivers make mistakes all the time. And how would you feel when your car updates its driving software while driving? How smart is a self-driving software that keeps on speeding after it detected six times in a row that the driver was not paying attention to its warnings? How smart is it to have a dishwasher talk to the internet so that it doesn't work when you have no connection? Of course, this type of smartness was introduced by smart people. The issue is complexity, made worse by legacy developed at a time when trustworthiness was a second thought. In the real world the complexity is immense and the law of Murphy is king. The question is how can we make things simultanously smart and trustworthy? Another question is whether such a smart system should mimic a human brain? Trustworthy means predictable, safe and secure which are all aspects for which humans have a very bad reputation. The road to salvation is a systematic one whereby unavoidable errors and faults are taking into account at every step of the development. Fault tolerance and resilience are key.
Too long, national and EU policy makers have focussed on improving the indirect vision of trucks by means of mirrors and cameras in an attempt to reduce the number of blind spot casualties. However, during complex manoeuvres it is virtually impossible for a driver to keep at all times a correct and complete overview on the position of all road users in the vicinity of his vehicle. This is aggravated by poor vision conditions and the distractions of hectic urban traffic.
Inspired by upcoming legislative changes, technology companies are racing to deliver new smart safety technology, capable of constantly monitoring the driving environment and warning the driver when a collision is imminent with pedestrians or cyclists within the vehicle's danger zones. Such systems not only leverage human awareness, but also integrate into a much broader Smart City mobile sensor platform that aggregates vehicle data and collision trends, which is of paramount importance to help cities identify effective road safety measures.
In this presentation, we will address some of the technology challenges faced in the development of smart driver assistance systems to avoid blind spot collisions involving vulnerable road users.