The startup develops high-resolution, low-cost radar sensors that create real-time 3D maps of surrounding vehicles and objects, enhancing situational awareness for autonomous driving systems. This technology enables clients to improve safety and facilitate new automation capabilities in the automotive industry.
Funding
Funding not disclosed
Founders
Product
Problem
Existing radar solutions for autonomous vehicles often lack the resolution and robustness needed for reliable object detection in adverse weather conditions. Traditional systems can be expensive, bulky, and require frequent maintenance, hindering widespread adoption.
Solution
RFISee is developing a high-resolution, low-cost 4D imaging radar-on-a-chip designed to provide enhanced situational awareness for autonomous vehicles, drones, and robots. The sensor generates real-time 3D location and velocity mapping of surrounding objects, enabling safer navigation and automation. Its unique technology achieves maximum angular resolution without moving parts, increasing reliability and reducing maintenance. The radar operates in standard automotive frequencies (76-81GHz) and is designed for mass production and integration with camera and LiDAR systems.
Target Audience
The primary target audience includes automotive manufacturers, autonomous vehicle developers, and robotics companies seeking high-performance, cost-effective radar solutions for enhanced perception and safety.
Features
- High-resolution 4D imaging radar-on-a-chip
- Operates in all weather conditions, including heavy rain, snow, fog, and sandstorms
- Detects small objects, cars, and humans at distances up to 600m for cars/motorcycles and 250m for bicycles/people
- Designed for easy integration behind bumpers and other hidden locations
- Achieves maximum angular resolution without moving parts
- Low-cost design suitable for mass-market automotive applications
- Compatible with camera and LiDAR fusion systems