Using several sensors and AI, AFEELA provides advanced driving support to the
driver.
It dramatically reduces the burden of driving in various situations, such
as commuting to work every day and going on weekend trips. AFEELA promotes safety and
security in mobility to a future standard.
Provides detailed support for drivers. Drive with peace of mind, even in complex metro areas.
One of the attractions of AFEELA is its outstanding “Autonomy.” Once you have set your destination and activated the advanced driver-assistance system, AFEELA will control itself according to surrounding traffic conditions. From highway cruising to accelerating and decelerating in metro areas, maintaining or changing lanes, stopping and starting based on road conditions, navigating intersections, and even parking, AFEELA supports the driver's mobility in various scenarios. Numerous sensors detect traffic conditions, enabling safe driving in complex metro environments.
Instant feedback and intuitive sensing data visualization.
AFEELA visualizes external conditions perceived from the sensors in real-time and displays them clearly on the screen. This allows drivers to grasp surroundings intuitively. Timely feedback on the vehicle's status, movements, and surroundings ensures a comfortable and safe journey for users.
Eye of the 360-degree.
AFEELA is fully equipped with numerous cameras and sensors inside and outside, anticipated to be equipped with 18 cameras, 1 LiDAR, 9 radars, and 12 ultrasonics —up to 40 sensors. These sensing devices precisely monitor surroundings in a full 360º, quickly detecting nearby vehicles, pedestrians, and obstacles. On the Meter Cluster Display, AFEELA renders the surrounding environment it detects as 3D graphics in real-time. Drivers can quickly and intuitively understand surroundings at a glance, offering an unparalleled sense of safety and peace of mind. Additionally, the in-cabin Driver Monitoring Camera detects signs of drowsiness or physical discomfort in the driver and issues alerts to ensure safety.
Seamless driving support utilizing advanced AI technology.
Sensor fusion plays a crucial role in enhancing the accuracy and reliability of data
interpretation by combining information from various sensors, which allows for better
object detection and more informed decision-making in dynamic environments.
The
role of AI is to recognize and analyze the vast data obtained from cutting-edge
sensing devices such as LiDAR and cameras by integrating the information from these
sensors (a process known as sensor fusion) to propose appropriate driving routes.
Transformers are foundational technology for large language models (LLM). Among them,
the latest AI technologies, such as the Vision Transformer (ViT) specialized for
images, are being implemented. The goal is to achieve advanced driving assistance
across all stages: Perception, Prediction, and Planning. We also utilize AI for
parking assist. Using fusion data of LiDAR and cameras, it promptly identifies and
estimates available spaces ahead of the vehicle and spaces along the parking route.
This allows the vehicle to automatically park in the selected parking space by
creating a natural and smart parking path.


Next-generation computational performance that optimizes mobility experiences.
Powerful computing performance is essential for creating future-ready mobility, including advanced driver assistance and an AI agent. Through a collaboration with Qualcomm Technologies, a leading company in AI & semiconductor technology, AFEELA is equipped with the Snapdragon Ride™ Platform SoC*2 as its brain. This has resulted in the creation of one of the world's most advanced intelligent mobility systems, with up to 800 TOPS*1 of processing performance. Leveraging the power of this platform, AFEELA delivers Level 2/2+ driving assistance across a wider range of driving conditions while paving the way for Level 3 autonomous driving in specific conditions in the future. Of course, beyond improving driving assistance capabilities, this also enables software updates to accommodate future advancements in autonomous driving.
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*1 TOPS: Tera Operation Per Second. A unit of measurement for the number of operations processed per second (trillions).
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*2 SoC: System On a Chip. A method that integrates all the functions necessary for the operation of a device or system into a single semiconductor chip.