Technology has been integrated into every facet of human life, nearly in all aspect’s virtual reality, artificial intelligence, machine learning, and augmented reality. Virtual reality is turning up freshly in the field of multidisciplinary research and its technology is surpassing using computer hardware, software and virtual environment technology through which real world can exaggerate dynamically.
Virtual reality is playing a far-reaching role in the development of autonomous vehicles. It is a digital environment that allows the user to experience and interact with the environment in real time. So, one of the highest expectations about autonomous vehicles is absolutely related to the safety improvements of transportation systems.
Using the technology, we can train and test the interactions between humans and autonomous vehicles in a realistic environment without the physical risk of the positive environment.
Virtual reality plays an imperative role in the definition of the set of metrics for profiling legitimate driving interactions with the automated vehicle. It constitutes a potentially valuable learning and skilling assessment tool which allows the driver to familiarize themselves with the automated vehicle and to interact with the novel environment involved in a risk-free environment.
In addition, the use of virtual training for autonomous vehicles artificial intelligence seems to be a very promising and explored field. Autonomous vehicles are aforethought as autonomous robots in a vehicle form-factor which can navigate with the infrastructure built for the regular vehicles.
Safety is the most critical concern about autonomous vehicles and the findings from these studies indicate that virtual reality is playing an important role in ensuring the security.
The admittance of autonomous driving technologies is settling an advance in software development in the automotive industry. With the flexibility and robustness of the automotive techniques by coupling both the approaches it lowers the development costs and faster implementation in terms of the vehicles.
HIL simulators allow the developers to validate new hardware and software solutions. This virtual environment should be versatile allowing to make the changes with high degree of flexibility and allows for the possibility of bumping into dangerous driving conditions without putting the driver at a physical risk by enabling the controllability and reproducibility of the conditions.
For the above reasons immersive head mounted displays have been prohibitive in mainstream settings. By using the light virtual reality systems can be effortlessly deployed in vehicle dealerships for training vast amounts of people in an alluring environment in a safe and decisive way.
VR can also support the autonomous vehicles and vehicle to vehicle communication process for risky situations, reducing losses. It can also be used as a useful tool for helping the users to learn to interact with the distinct HMI in training and learning the psychomotor skills.
Users can wear VR headsets to learn how each interface works and how to interact with them in a controlled environment by reducing risks. Creating a virtual environment for autonomous driving assistance system testing means modelling a complete driving scenario using software which includes the driver, sensors, traffic, and realistic vehicle dynamics.
In contrast with real-world testing, virtual environment simulation is safe which also allows the testing of autonomous vehicles in hundreds of thousands of potential scenarios. This environment helps to validate many demeanors of vehicles at a time, dwindling the development costs which is possible.
As technology matures augmented reality and virtual reality will let the vehicles occupants leverage their real-world location and surroundings to achieve enhanced productivity and leisure.
Vehicles are becoming too intelligent and technologies such as driver monitoring allow autonomous vehicle platforms knowing the vehicle occupants performing over driving, other duties.
Virtual reality windshields allow dynamic reconfiguration of multi-lane roads based on demand in the long-term traffic lights and road paintings and has enormous potential for driving training providing access to realistic demos of driving scenarios which range from general hazard perception to more specific scenarios by dealing with the emergencies.