The startup develops 4D imaging radar technology for the commercial vehicle market, providing long-range imaging and wide-angle views that accurately detect and identify closely-clustered objects. This technology enhances the integration of high-accuracy radar systems in both current and autonomous vehicles, improving safety and operational efficiency.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current radar systems often struggle to accurately detect and identify closely clustered objects, especially in challenging environments, limiting the effectiveness of advanced driver-assistance systems (ADAS) and autonomous driving technologies. Existing solutions may lack the necessary range, resolution, and field of view to provide a comprehensive understanding of the vehicle's surroundings. This can lead to safety concerns and hinder the widespread adoption of autonomous vehicles.
Solution
RadSee provides a 4D imaging radar technology designed to overcome the limitations of existing radar systems. Their solution delivers long-range detection (up to 400 meters), a wide field of view (120 degrees), and high-resolution imaging, enabling accurate identification of closely clustered objects in various environmental conditions. The radar is built with off-the-shelf 77GHz chips, proprietary AI-driven algorithms, a patented antenna design, and a novel system architecture, allowing for flexible integration into existing vehicle systems. By providing superior object recognition and clarity, RadSee enhances the safety and efficiency of both current and autonomous vehicles.
Target Audience
The primary target audience includes automotive manufacturers and suppliers developing ADAS and autonomous driving systems for commercial vehicles.
Features
- Ultra-long range detection (up to 400 meters) for early object identification.
- Wide 120° field of view to capture a comprehensive view of the surroundings.
- High-resolution azimuth, elevation, distance, and relative velocity measurements for accurate object identification.
- AI-driven proprietary radar processing algorithms for object classification and sensor fusion with camera data.
- Patented antenna design for high gain, dynamic range, and low manufacturing cost.
- Novel system architecture utilizing two radar chips for a compact size.
- Chip and DSP agnostic design for easy integration into existing systems.