Create a better ride with new innovations
Looking into the future, safety, economic efficiency, mixed mobility, connected traffic, and autonomous systems are driving developments in the automotive and transportation space. Further, autonomous driving needs guaranteed position accuracy, making integrity essential. These key drivers are deeply interconnected and will improve the way people will travel and commute, and how infrastructure will evolve to meet expectations.
Mixed mobility — We’ll see a future where people combine different transportation methods; one could use a shared bike to get to the bus station, hop on the autonomous public transportation system, and for the very last mile take a shared car. Our future mobile world will strive for optimized and efficient transportation saving time, money, and the environment.
Connected traffic — From emergency calls to video-on-demand in the backseat, the connected vehicle improves the driving experience and enables vehicle makers to provide services after the sale of the vehicle. Every moving vehicle will become a data hub with bi-directional communication to the infrastructure or – in the case of fleet management – to the control center. Private vehicles, public transportation as well as commercial fleets will be able to drive in “platoons” to save energy and optimize traffic flow.
This real-time connectivity and data analysis will also increase safety and efficiency on the road.
Autonomous systems — New vehicle-to-everything (V2X) architectures, lane level accuracy, and highly automated driving – milestones towards autonomous driving systems – will enhance the driving experience and safety as well as accelerate the development of autonomous vehicles. The autonomous trend has already begun with robotic lawnmowers that drive autonomously, airport train systems that run without a driver, cars that park autonomously, vehicles that are unmanned (UAV), and trucks with more autonomous intelligence to relieve the driver.
Enhanced navigation systems will become “lane accurate” – they will be able to invite the driver to change lanes early enough before a turn or an exit. Augmented reality will be able to display the routing instructions directly on the road or lane. The benefits include more driver comfort, safety, and pleasure.
The autonomous car raises the bar for information availability in the vehicle in order to ensure a safe ride. Ultra-precise and trustworthy vehicle position as well as information about the behavior and position of surrounding vehicles becomes crucial.
Safety & security — Can you rely on the information given by the system? Will “things” communicate safely with each other, and is it impossible to manipulate data? As we hand over personal intelligence to the systems, safety and security will become increasingly important aspects to consider all the way from single components to the entire ecosystem. By taking appropriate measures with regard to reliable, low-latency communications and incorporating proven design techniques and reliable components or modules, automotive cognition can pave the way to the Holy Grail of safe, reliable, and truly autonomous vehicles. Along the way, it will enhance driver safety through more tightly integrated advanced driver assistance systems (ADAS) for collision avoidance while also enhancing the bottom line of commercial tasks such as fleet management.
Economic & sustainability efficiency — For OEMs and Tier1s, the total cost of ownership will become increasingly important as the level of autonomy rises. Also important trends to consider are the competitive time-to-market as well as environmental and resource sustainability; these would be important dimensions when planning new products or business models for the automotive and transport market.
Traceability — It’s crucial in business-critical automotive systems to get heads-up alerts for any potential error-occurrence within your operations. Automotive applications require full traceability of data, allowing you to seamlessly solve issues by tracking vehicles in real-time, tagged with position and time-stamped data information.