Self-driving cars represent the next generation of personal vehicles. Self-driving cars with artificial intelligence are starting to be used in 2017 and will gain more use in 2018.
By 2021, all the new personal vehicles being sold will have autonomous capability, which has the potential to increase performance and safety dramatically.
Autonomous cars will also be used for ride sharing. Ride sharing in cities is sure to grow more popular as the price decreases because there is no human driver. This represents a new and rapidly growing market based on self-driving cars with artificial intelligence. Any chance that personal cars and light truck vehicles will be replaced by Uber-type ride sharing seems highly unlikely, however. People like their personal vehicles, the performance, the convenience, and the privacy. As Tesla has shown, the autonomous performance vehicle is very appealing to people.
That being said, autonomous vehicles will be used to create a couple markets that do not exist now: package delivery with self-driving vehicles, and ride sharing using autonomous vehicles, vastly decreasing the cost of a ride.
Features of Intelligent Cars
Bundles of sensors are the eyes and ears of the autonomous car. Maps are one of the most important innovations to make sense of the various info streams, from navigation and points of interest to live weather and traffic data.
How artificial intelligence makes cars safer:
- Integrates sensors and bundles sensors
- Creates maps of locations
- Makes sense of diverse info streams
- Supports navigation and points of interest
- Implements live weather and traffic monitoring
Artificial Intelligence in Cars: Industry Players to Watch
IBM is the leader in the artificial intelligence aspect of the business, facilitated by the Softbank investment in IBM Watson. Many companies participate in the artificial intelligence auto industry including Berlin-based HERE which was acquired by a consortium of automotive companies Audi, BMW, and Daimler.
Artificial intelligence in transportation has been around a long time. Airplanes already land themselves. Autonomous cars represent a further step on the road to autonomous transportation. The Daimler E-Class is the world’s first production car to be issued a test license for autonomous driving. It is certified in Nevada in the United States. This came about without having to undergo a hardware modification. Only the software has been slightly changed.
Google and Tesla are the market leaders in cars on the road and longevity for testing vehicles. Apple, Amazon, and Uber represent tech companies in the business. All the auto manufacturers have partnerships and suppliers that provide artificial intelligence capability for cars, light trucks, and SUVs.
AI in Cars Forecasts
According to WinterGreen Research, 90.87 million autonomous-capable consumer vehicles, cars, and light trucks are expected to be on the road worldwide in 2023. Approximately 52 million autonomous passenger vehicles and 20 million commercial autonomous vehicles will be sold in 2023.
A new study from WinterGreen Research, Inc. titled Artificial Intelligence for Cars and Light Trucks: Market Shares, Market Strategy, and Market Forecasts, 2017 to 2023 details the evolution of the new market. Following is a scrubbed sample from the study. To view the full data set, download the AI in cars study on MarketResearch.com.
AI Pioneers: The Mercedes-Benz E-Class
Until now, partially autonomous driving and automated parking have been relying on artificial intelligence (AI) working at the highest level of sophistication. Mercedes-Benz is setting standards for autonomous driving with the new E-Class. The model is equipped with numerous intelligent assistance systems that support drivers in a way that’s never been done before. This support reduces drivers’ stress levels. It makes driving more enjoyable and increases driver attentiveness, thus benefiting everyone on the road. Innovative assistance systems are at the heart of the automated E-Class.
The artificial intelligence (AI) enables the car to automatically maintain an appropriate distance from vehicles ahead at a speed of up to 210 km/h. The car automatically recognizes speed limits. Drivers no longer need to operate the brake or gas pedals, and they receive steering support. Due to legal and other requirements, drivers must keep their hands on the steering wheel during all automated maneuvers.
Swarm organization reduces stress. In a swarm, the E-Class takes surrounding vehicles and parallel structures into account. Electronic assistants can actively intervene even if road markings are unclear or nonexistent. The system makes things easier on drivers, especially in heavy congestion and traffic jams.
Lane changes are also made easy. The E-Class uses state-of-the-art radar and camera technology to leverage artificial intelligence (AI) in a manner that assists the driver when changing lanes on multi-lane roads. Systems work when overtaking traffic. Once the driver has activated the turn indicator for at least two seconds, the artificial intelligence (AI) system helps steer the vehicle into the desired adjacent lane, provided it detects that the lane is not occupied.
Airplanes land themselves better than a pilot can, as proved recently. Autonomous cars, leveraging artificial intelligence, represent a further step on the road to autonomous transportation.
Get the Full Report
To learn more about this fast-growing market, see the comprehensive 826-page report by WinterGreen Research, which features:
- 290 tables and figures
- Market shares and forecasts
- AI cars and trucks product descriptions
About the Publisher: WinterGreen Research provides strategic market assessments in telecommunications, advanced computer technology, communications equipment, and other dynamic sectors. Industry reports focus on opportunities that expand existing markets or develop major new markets.
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