ADAS or advanced driver assistance systems are set to enhance vehicle safety, as they help to simplify the driving process by reducing sources of driver distraction and inattention that often lead to accidents. With this assistance software, drivers and passengers will find safer roadways, countering frightening trends in motor vehicle accidents.
According to the World Health Organisation, approximately 1,35 million people die each year as a result of road traffic accidents and injuries from such accidents are the leading cause of death for children and young adults aged 5-29 years. The risk of crashes rises even when drivers are briefly distracted.
Mobile phone usage is another thing that increases accident rates, as drivers who seem to be watching the road actually exhibit “inattentional blindness” and loss of reaction time as they focus on another activity.
Having these terrifying statistics in mind, automotive software developers are working on improving ADAS designs that are capable of addressing these problems. This requires a broad combination of features and capabilities built on advances in diverse technologies.
In this post you can find the 5 key trends that will form the future of driver assistant software development:
You might have noticed this buzzword pops up everywhere in recent years. That’s because of the IoT. Wireless networks are now playing a growing role in in-vehicle, as well as in external connectivity. Combined with systems like anti-lock braking and tire-monitoring, they provide better flexibility for automotive protocols like FlexRay or XCP.
The integration of wireless devices lays a foundation for services, which are able to inform drivers about vehicle status, alternative roads and traffic conditions. With the help of IoT, smart devices within vehicles are linked with cloud-based applications for even more sophisticated ones. IoT connected vehicles are set to be the beginning of connected roadways, expected in the near future.
The automotive industry has developed vision systems that are becoming essential for identifying potential hazards. They provide warning functions like unobserved traffic or lane drift. Those systems gather the data needed to support services like automatic parking or traffic sign recognition.
Automotive vision systems are fundamental for driver monitoring, which warn when the driver’s attention begins to wander from distraction. The specialized computer-vision assistance software and hardware have overcome the challenges of creating such systems, so they’ll be implemented in vehicles for improved safety.
The driver assistance software requires an extensive set of sensors for monitoring the vehicle’s surroundings, as well as the drivers themselves. Light and infrared detecting sensors, along with radars offer a solution for adaptive cruise control, that responds to traffic changes and distance maintaining systems during high-traffic driving.
The trend towards improved sensor fusion combines the output of all kinds of sensors with additional data in order to provide even more predictive types of warnings. Automotive software developers create systems that are able to predict loss of friction between the tire and the road by gathering data from vehicle-acceleration sensors, electronic stability control, and tire-pressure sensors.
This shows that modern cars will be full of sensors that will gather data for the use of driver assistance software.
The success of driver assistance software lies in distraction-free methods of interaction with the driver. An advanced touch screen technology helps for ensuring easier interaction when the vehicle is not parked. As for the improvement of the actual driving process, the application of the human-machine interface (HMI) technologies is needed.
Those torch-free systems provide the possibility of interaction without having to move your hands from the steering wheel. Eye-tracking technologies and voice control are closing the gap with traditional touch-based interfaces. Head-up displays also contribute for maintaining drivers roadway focus, using DLP chips to project high-contrast images.
This brand new human-machine interface will work towards easier, yet safe interactions between the driver and the assistance software.
The emergence of sensors and control systems in vehicles demands an improved system fundamental throughout the overall vehicle system design. With the growing number of sensors and processors implemented in it, a staple design platform becomes more and more necessary.
The need for safety functionality in real-time operating systems and supporting software tools provides automotive software developers and designers with the assurance of a proven software foundation. The list of tools designed to support ISO 26262 international functional safety standard for road vehicles is constantly growing.
Other industry standards provide designers with a common interface to work on, for linking third-party software modules and applications within vehicles.
Driver assistance software developers promise to deliver the features and capabilities needed for a simplified driving experience while reducing vehicular accidents. The rapid advancements in the technologies we listed above allow them to continue to find new cost-effective options for improving the design and efficiency of driver assistants.
The connectivity provided by IoT, voice control and brand new design will all be a part of modern vehicles, that will provide improved driving experience, as well as safety on the road.
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