The future of Autonomous drive and deep driving technologies

For anybody remotely connected to the car industry the (re)evolution of autonomous driving is of huge interest and importance, including WirelessCar and our customers. So where is the industry today? And what challenges and exciting news lie ahead? Here’s an update from the leading arena for autonomous driving, the Auto AI in Berlin where everyone in the industry was present.

Where is the business now?

  1. Deep Learning together with advanced imaging, computer vision, and sensor fusion is the key to reach “level 5” and fully autonomous driving.
  2. All car manufacturers are working intensively to collect data to be used in driving simulations.
  3. Most car manufacturers are on “level 3” in the 5 levels (link) of autonomous driving and they are striving to reach level 4 automation.
  4. During 2020 many of the car manufacturers are predicated to be on level 5 and have fully autonomous car. The question is in what environment: restricted areas or in the world.

The current issues/trends?

  1. Autonomous driving cars will appear first in autonomous cargo transportation or autonomous taxi fleet, later in autonomous cars owned by individuals.
  2. First we will see autonomous cars in restricted areas then the cars will appear in highways, country roads, in cities and then the whole world.
  3. By training the car with the right data we teach it to make it on decisions based on a situation; like it had a brain.
  4. The race between car manufacturers is all about collecting as much data as possible in order to get insights about the rare cases and situations that an autonomous car can be facing.
  5. Challenges for all car manufacturers are that a lot of data is needed and that it is expensive and time-consuming to collect it.
  6. Autonomous driving enables new types of applications like trajectories planning when you don’t drive buy yourself – finding the most effective and smooth path from one destination to another destination.
  7. All types of personalization apps like learning driver behavior that is making intelligent suggestions.

Our Analysis: Autonomous and Connectivity

Connectivity and autonomous driving together create opportunities, since consumers prioritize driving-related applications, such as connected navigation and automated valet parking.
It it’s not anymore just about having a comfortable ride when you are on the road. Soon you want to talk to your car (voice control) or integrate your car with your home security system. The car will be able to offer more personal assistance. This can be accomplished with AI and deep learning technologies.

To provide the connectivity consumers increasingly demand, car manufacturers probably need to collaborate in a common ecosystem, for instance sharing of real-time information such as road, weather, and traffic conditions gathered from sensors on their connected cars. Such cooperation would allow car manufacturers to reach sufficient scale to gain benefits from networking but still allow them to keep brand-specific differentiating in their customer offers.

Want to know how our products enable Autonomous cars or how we look at the development? Contact us today.

 

Facts: Levels of driving automation

  • Level 0: Automated system issues warnings but has no vehicle control.
  • Level 1 (”hands on”): Driver and automated system shares control over the vehicle.
  • Level 2 (”hands off”): The automated system takes full control of the vehicle (accelerating, braking, and steering). The driver must monitor the driving and be prepared to immediately intervene at any time if the automated system fails to respond properly.
  • Level 3 (”eyes off”): The driver can safely turn their attention away from the driving tasks, Level 4 (”mind off”): As level 3, but no driver attention is ever required for safety, i.e. the driver may safely go to sleep or leave the driver’s seat.
  • Level 5 (”steering wheel optional”): No human intervention is required. An example would be a robotic taxi.

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