How artificial intelligence is paving the way for self-driving cars
The world is changing much faster than imagined, and artificial intelligence is getting smarter every day. Self-driving cars have been making headlines lately and dominating technology conversations.
Self-driving cars have been making headlines lately and dominating technology conversations. They are seen as a post-Uber disruption to public transportation and freight transport. This is certainly not a figment of the imagination in the age of artificial intelligence, which is being used to complement the design of driverless cars. The combination of artificial intelligence and driverless technology is a formidable force.
Waymo, Tesla and other companies have invested heavily in self-driving cars. In fact, Waymo has already tested its self-driving cars in Phoenix, Arizona, and intends to start operating them by the end of 2018. Tesla has already implemented several "autonomous driving" features in its cars.
Before we get into the details, let’s first discuss what it means to be autonomous. There are different levels of automation in cars, which can be divided into:
- Assisted Automated Driving - This is the initial level or starting point of car automation, where the system is designed to assist the driver only and not perform car controls, such as parking sensors.
- Partially automated driving - the system completes partial control, and the driver is mainly responsible for the operation of the vehicle.
- Highly automated driving - allows users to let the system control the vehicle for extended periods of time, such as on the highway.
- Fully automated driving - This system is responsible for driving the vehicle without any human interference. However, human presence is still needed.
- Fully Automated Cars - Vehicles that can completely navigate from one point to another without any assistance from the driver.
The definition of autonomy varies depending on the level of automation. While driver assistance automation and partially automated cars are already in commercial use, the remaining stages are still in testing.
For us to achieve the remaining stages of automation, or even come close to it, artificial intelligence is the incentive we must have. In this article, we’ll discuss the impact of AI in “highly automated,” “fully automated,” and “fully automated” transportation, and how the power of AI can be harnessed to make this a reality.
The complementary role of artificial intelligence in the use of autonomous vehicles
Depending on regulatory and social acceptance, the impact of fully autonomous vehicles could extend beyond disruption to public transportation systems. At a macro level it affects urbanization, town planning, food delivery and could destabilize the growing real estate market.
For AI to work, we need IoT devices (such as radar, ultrasonic, radar, cameras, lidar, accelerometers and gyroscopes) to enhance the vehicle’s real-time operating environment and positioning.
Now that we’ve discussed the potential of AI, let’s talk about four areas where AI is seen as key to the success of self-driving cars.
1. Self-driving car safety
Before AI completely takes over the driver’s seat, it is used as a co-pilot to gain the trust of users, regulators and manufacturers. By analyzing data feedback from sensors, AI can come in handy in situations where drivers make human errors.
Artificial intelligence scores highly in the following areas:
(1) Vehicle emergency control
(2) Cross traffic detection
(3) Traffic signal synchronization
(4) Emergency treatment in emergency situations
(5) Active blind spot monitoring
(6) Assist drivers to avoid distractions
The processing power required to drive a vehicle is enormous, and you have no control over the changing external environment. Therefore it requires constant training and learning. There are many companies testing applications of artificial intelligence in driving, but the most notable achievements are Waymo and Tesla.
Waymo's AI algorithms are powered by real-time data from sensors, GPS, radar, lidar, cameras, and cloud services, which are processed to generate control signals for the operation of the car.
2. Personal cloud services
Artificial intelligence can be used to accurately measure the physical state of a vehicle. Data collected while driving can be processed for predictive and prescriptive maintenance.
3. Provide accurate information to regulators and insurance companies
Data from self-driving cars can be used to determine traffic violations and claims. From an insurance perspective, AI can help determine:
(1) Driver risk assessment – Using artificial intelligence, driver behavior can be accurately measured and premiums can be charged based on risk profiles.
(2) Claims Ease – Data from vehicles can be used to process claims faster in the event of an accident. For example, Art Financial’s AI-based video application Dingsunbao 2.0 allows users to view damage to their cars.
4. Monitor driver and user behavior
The use of AI in self-driving cars is not limited to more stringent requirements such as safety, it can also be fun. AI can be used for in-car infotainment functions.
Based on user behavior, AI can provide customized infotainment during travel. Based on data collected over time, AI can predict and specify preferences based on user behavior. This may include:
(1) Seat position adjustment
(2) Sight mirror adjustment
(3) Air conditioning adjustment
(4) Music playback
Artificial intelligence is growing in importance and encouraging people to experience the ease of driving autonomous vehicles. Governments have also joined the race to attract investors and bring self-driving cars based on artificial intelligence into commercial use.
In August 2018, the British government announced an artificial intelligence simulator plan to attract companies to become an effective place to test autonomous vehicles. The simulator, called OmniCAV, can simulate 32 kilometers of Oxfordshire roads.
The world is changing faster than imagined, and artificial intelligence is getting smarter every day. We are about to witness the post-Uber era, so hold your breath!
Original author: Rilind Eleza
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