Open innovation provides answers to diverse automotive safety challenges collaborating with stakeholders from various engineering and non-engineering backgrounds are also an essential component to achieve advanced levels of autonomy.
Vehicles today feature advanced driver assistance systems that envisage achieving automation levels for driverless vehicles. Advanced Driver Assistance Systems will serve as the building blocks for autonomous vehicles and here-in L3 and L4 levels of automation are expected to see more growth over the short term.
Further, it is noted that complex technologies and safety requirements that address fully autonomous cars will mature over the long-term. With complexities increasing, there is a significant need to increase testing measures that need to ensure safety of the entire system for its use case.
With here levels of automation, vehicle safety now warrants nearly over 10 billion miles of simulation in virtual environments to test and validate data. Simulated testing and virtual validation of autonomous electronic control units (ECUs) that will be vital to determining the levels of safety. These will further demand simulation testing to increase.
The collaborations between various stake holders in the industry is set to improve quicker realisation and high volume deployment of safe and secure systems in the mobility landscape.
The automotive industry has been witness to a great amount of disruptions that have created advancements in autonomous driving and connected car technologies such as HMI, Virtualisation and ECU consolidation for digital cockpit dashboards. Such systems have refreshed and enhanced the human-machine interaction and safely perform in-vehicle functions. Cutting down on in-car physical operations also aid in improving the consumer perception of application based vehicle technologies.
Systems such as speech recognition, gesture control, etc allow the drive to keep focused on the road with little or no distractions and thus aiding in avoiding accidents. The adoption and revenue growth from automotive gesture recognition is likely to gain further traction with global OEM giants already having launched such technologies in their products.
Car makers and their suppliers have begun reconsidering the necessity and appropriateness of the present safety standards. Exploring the severity, controllability and exposure of ECUs and vehicle in environment is said to help plan better for redundancies. At present efforts are being made to looked at accommodating autonomous vehicle technologies and define safety goals. However, there is a possibility of setting exceptions to some standards, depending on the levels of autonomy. These standards are said to be evolving gradually.
Norms in the automotive industry have exponentially increase the role of software and networking in vehicles. The volume of software in vehicles is exposed and vulnerable to malicious hacks from external parties. A fool-proof cyber security standard should be in place for data security. OEMs and Tier I suppliers are working hard to defining a unified solution for the next generation cybersecurity standards, which will create new features.
The era of digital transformation gives birth to exciting solutions simplifying the most complex activities, building a whole new world of unique possibilities and opportunities. Open innovation provides answers to these diverse automotive safety challenges collaborating with stakeholders from various engineering and non-engineering backgrounds. Although there have been multiple implementations and success in building safer automotive systems, there is no single distinct approach.
However, factors such as processing capabilities, redundancy levels for a safer operation, etc, can help measure the degree of safety. High performance computing platforms, efficient & scalable sensor fusion technologies (accommodating a wide range of sensors) and safety critical control, perception & navigation software blocks will be the key in structuring future automotive safety systems.