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What makes driving a driverless car so difficult in the rain

When watching a video of a self-driving car, you’ll often notice that it avoids driving in the rain. The roads are typically dry, and there are no clouds in the sky. This is because current autonomous vehicles struggle to operate effectively in rainy conditions. According to the National Highway Traffic Safety Administration (NHTSA), nearly half of all weather-related traffic accidents in the U.S. occur on rainy days—around 46%. Rain creates additional challenges for drivers, and even more so for self-driving cars. As rainwater becomes more common across many regions, it’s clear that we need autonomous vehicles capable of functioning safely in wet weather. At the CyberneTIc Self-Driving Car Institute, we’re focused on improving AI capabilities so that driverless cars can navigate rainy conditions with confidence and precision. For Level 5 self-driving cars—those that match human-level driving abilities—we aim for artificial intelligence to adapt automatically to rain conditions. For Level 4 systems, AI may not always be able to drive in the rain, but it should attempt to do so and hand control over to a human if it encounters a situation it can’t handle. This handover can be risky, especially if the vehicle is caught in heavy rain, where slipping or losing control is more likely. Simply handing over control to a human doesn’t always solve the problem, as drivers might not react quickly enough or may not have a clear way out of the situation. So why is driving a self-driving car in the rain so challenging? Let’s explore the key factors: **Road Surface** Rain makes roads slippery, reducing tire traction. AI must recognize wet surfaces and adjust turning, acceleration, and braking accordingly. If AI misjudges the grip, the car could skid, endangering passengers and others. **Water Sliding** When water builds up between tires and the road, it causes hydroplaning, making the car feel like it's driving on water. AI needs to detect this and activate a “water taxi” mode, slowing down, avoiding sudden stops, and adjusting steering. **Puddles and Obstacles** Puddles can hide potholes or other hazards. Detecting them is tricky, as depth and location matter. AI must plan routes to avoid these dangers, possibly changing lanes or taking safer paths. **Staying in the Middle of the Road** Most roads are designed to channel water to the sides. AI tries to stay in the center or middle of the road to avoid flooded areas. However, this isn’t a strict rule—it depends on the situation. **Driving Mode in the Rain** AI slows down by about a third compared to normal speeds. For example, if the speed limit is 55 mph, it would target around 40 mph. It also increases following distance and ensures headlights are on to improve visibility. **Preparation for Rainy Days** Before driving in the rain, AI checks tire pressure and tread depth. Sensors must remain clean, and some companies are developing special wipers and coatings to protect cameras and sensors from rain and dirt. **Route Planning** Rain often floods certain roads, so AI must choose alternative routes. A faster path may become unsafe, forcing the car to take a longer but safer route. **Vehicle Control Systems** AI must use features like traction control, anti-lock brakes, and stability systems. These tools help manage slippery conditions, just as human drivers do. **Sensors in the Rain** Cameras can fog up, and lidar signals may be distorted by raindrops. AI must process unclear images and rely on multiple sensor types. Some systems use heating or mini-wipers to keep lenses clear. **Human Drivers** Self-driving cars share the road with human-driven vehicles. AI must anticipate erratic behavior, such as sudden lane changes or reckless driving, especially in the rain. **Field Driving Challenges** In heavy rain, driving becomes more complex. Changing lanes is harder, and following large vehicles like trucks is risky due to splashing water. AI must maintain control while staying alert to surrounding traffic. By addressing these challenges, we're working toward a future where self-driving cars can safely and confidently navigate any weather condition.

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