捷豹路虎近日发布了具有自我学习能力的辅助驾驶系统，该系统将为每个车主提供个性化驾驶体验。该系统利用“最新机器学习和人工智能技术”可以识别驾驶员并学习其驾驶习惯和风格。它甚至可以根据车主日程安排，路况，不同出行时间和天气情况来预测驾驶员的驾驶行为以帮助车主将更专注于驾驶本身。该系统可以通过连接智能手机识别驾驶员身份并在其打开车门的一瞬间自动调整后视镜角度，方向盘高度/倾角和座椅位置以达到驾驶员先前设置的最满意位置。车载空调也可以根据天气情况调整车内温度并根据驾驶员出行计划将目的地设定入GPS导航系统并可根据路况选择最佳路线以避免拥堵路段。如果驾驶员通常都喜欢在行驶过程中与家人联系，系统也会“记住”这一习惯并在路上给你经常联系的家人打电话。如果无法在原定时间抵达目的地，系统还会让驾驶员选择是打电话还是发电子邮件告诉对方你将要迟到。在驾驶过程中，系统还会自动将自适应巡航控制设置调整到驾驶员最喜欢的模式，在接下来的行驶过程和加速行驶中可以按照驾驶员喜欢的方式进行。据捷豹路虎研发和技术总监Wolfgang Epple介绍：“开发自我学习辅助系统的目的是尽量减少驾驶员的分心，这也有助于降低事故率。在恰当的时间告诉驾驶员必要的信息有助于使其不会被与驾驶无关的事情所干扰，让他能把更多精力用于观察路面情况，而不必进行调整空调温度，后视镜角度，翻看电话本，设置座椅高度等这些其他工作。”

 

Jaguar Land Rover shows off their self-learning assistance system

Jaguar Land Rover has introduced a self-learning system that will offer a personalized driving experience for each individual owner.

 

According to the company, the system uses the "latest machine learning and artificial intelligence techniques" to recognize the driver and learn their preferences and driving style. JLR goes on to say the system will factor in your calendar, traffic conditions, the time of day and the weather to predict your driving behavior to help you focus on the task at hand.

 

The system will use a smartphone to recognize the driver and will automatically adjust the mirrors, steering wheel and seat to their preferred location by the time the driver opens the door. The car will also adjust the temperature according to weather conditions and will review your schedule to set your destination into the GPS system while factoring in traffic conditions to avoid congestion. If you usually call your wife on your way to work, the system will recognize this and offer to make the call on future trips. Along the same lines, if you're running late to an appointment the car will offer to option to call or e-mail them to inform them that you're running late.

 

While driving, the system will adjust the Auto Adaptive Cruise Control setting to the driver's preferences so the following distance and acceleration profile suits the driver's tastes.

 

According to JLR Director of Research and Technology Dr Wolfgang Epple, "The aim of our self-learning technology is to minimize driver distraction, which will help reduce the risk of accidents. Presenting the driver with information just at the right time whilst driving will reduce both cognitive distraction and the need for the driver to look away from the road to scroll through phone lists, or adjust mirrors, temperature or seat functions while on the road."