iDrive, a company that has recently expanded into autonomous driving software, is introducing a licensable software stack called IDrive Autonomy Assisted Driving. This platform is designed for car manufacturers who lack their own self-driving systems, allowing them to offer self-driving technology to consumers without having to develop it from scratch. The driver-assistance platform is classified as an L2+ system, which is considered the most practical and widely adopted level of autonomous driving. At this level, the vehicle can handle tasks like automatic lane changes and traffic jam support, while a human driver remains responsible for monitoring the road. This system uses crowdsourced mapping and multiple cameras to enable hands-free driving on long stretches of highway, though the driver must stay alert and ready to take control. L2+ is a marketing standard that indicates a reliable self-driving experience, but it still places full responsibility on the human driver. This is different from Level 3 automation, which allows for more hands-off driving in specific conditions, such as on highways, but still requires the driver to be ready to intervene if needed. IDrive's offering includes a complete assisted-driving stack, which consists of the intelligence, software, and camera hardware developed by the company. The full deployment of this system costs $1,500 per vehicle and is built on a foundation model that continues to be trained and improved over time. According to Raghu Kulkarni, CEO of IDrive, the industry has spent years pursuing the goal of full self-driving, but achieving that level of automation presents a much more complex challenge. Full self-driving (FSD) involves not only solving perception and driving tasks but also managing significant safety, validation, regulatory, and liability issues. These factors make it extremely difficult to commercialize and license FSD as a general-purpose product. IDrive Autonomy Assisted Driving is currently being tested in real-world conditions and aims to address a gap in the market. It offers car manufacturers a more straightforward and cost-effective way to incorporate self-driving features into their vehicles, without the immense challenges associated with full autonomy.