Nationwide Vehicle Contracts explores how AI-driven safety features work and the impact they're having on road safety.
In the last few years, the automotive industry has witnessed a transformation like no other. We've seen manufacturers increase electric car production and various high-tech features, such as Artificial Intelligence (AI).
AI-driven safety features are playing a pivotal role in preventing accidents and making our roads safer. But how do they do this? Check it all out in our blog below.
Collision Detection Systems
One of the most important AI safety features is Collision Detection Systems. These use a combination of sensors, cameras, and AI algorithms to monitor the vehicle's surroundings in real time. They work by:
- Sensors - Modern cars are equipped with a variety of sensors, such as radar and LiDAR, which constantly scan the area around the vehicle.
- Cameras - In-vehicle cameras capture images and video footage of the road, helping the AI system identify potential obstacles.
- AI Algorithms - These algorithms process the data collected from the sensors and cameras to detect objects, analyse their speed and trajectory, and assess the risk of a collision.
If the system detects an impending collision, it can take actions such as sounding an alert, tightening the seatbelts, or even stopping the car if necessary.
Lane Departure Warning Systems
Lane Departure Warning Systems use AI to prevent accidents caused by drifting out of your lane unintentionally. It works as follows:
- Cameras - In-vehicle cameras monitor the road's lane markings.
- AI Algorithms - AI technology analyses the camera's data to determine the vehicle's position within the lane.
- Alerts - If the system detects that the vehicle is drifting out of its lane without using its indicator, it alerts the driver through visual or audible warnings.
Lane departure warning systems are effective in preventing accidents caused by drowsy or distracted driving, keeping the vehicle in the correct lane and reducing the risk of collisions.
Adaptive Cruise Control
Adaptive cruise control is an advanced version of traditional cruise control that automatically adjusts the vehicle's speed to maintain a safe following distance from the car in front. Here's how advanced cruise control works:
- Sensors - Sensors such as radar and LiDAR are used to monitor the distance to the vehicle ahead.
- AI Technology - AI processes the sensor data and determines the appropriate speed to maintain a safe following distance.
- Speed Adjustment - The system can automatically adjust the vehicle's speed by accelerating or applying the brakes to keep a safe distance from the vehicle in front.
Advanced cruise control prevents accidents caused by tailgating or failing to adjust speed in heavy traffic. It reduces the risk of rear-end collisions and enhances overall road safety.
Other AI Safety Features
The three systems above are what most new cars come standard with, but there are additional AI safety systems on more advanced cars, such as:
- Traffic Sign Recognition - Traffic sign recognition uses a camera to capture road signs and show them on the instrument cluster or head-up display. It's useful for showing the correct speed limit and one-way signs or no-entry signs.
- Driver Attention Alert - Driver attention alert tracks you as a driver and can warn you if it senses a lack of concentration. Some systems can also sense if you take your eyes off the road.
- Rear-Cross Traffic Alert - Rear-cross traffic alert works when you're reversing and will warn you if there's something in the way, and may even brake the car if needed.
Impact on Road Safety
The introduction of AI-driven safety features in vehicles has had a significant impact on road safety:
- Reduced Accidents - Collision detection systems, lane departure warnings, and adaptive cruise control have all been introduced to prevent accidents caused by human error, distracted driving, and traffic congestion.
- Improved Driver Awareness - The systems used not only intervene in critical situations but also raise driver awareness, making them more cautious and responsible behind the wheel.
- Safer Roads - Because of the two points above, the use of AI in vehicles contributes to safer roads for everyone, from pedestrians and cyclists to motorists.
Conclusion
Artificial intelligence is revolutionising road safety by preventing accidents through technologies such as collision detection, lane departure warnings, and adaptive cruise control.
These systems work in tandem with the human driver to create a safer and more secure driving environment.
As technologies continue to advance, such as self-driving technology, AI will play a pivotal role in accident prevention on our roads.
Looking for more car leasing blogs? Nationwide Vehicle Contracts produces regular blogs on car technologies, such as The Best Cars for Tech-Savvy Drivers and The Impact of Privacy Concerns on Connected Car Technology.
We are also one of the UK's leading car leasing brokers, offering a range of leasing deals to suit your every need.
Originally posted: 8th November 2023
