RadSee Launches Automotive 4D Imaging Radar
February 16, 2021
News
Per the company, RadSee Technologies announced the availability of the automotive industry’s first 4D imaging radar for ADAS and autonomous vehicles able to deliver high performance and scalability to OEMs and Tier 1 suppliers at up to one-third the cost of previous solutions.
According to the company, by combining the company’s algorithms and patented antenna and system architecture with 77GHz commercial off-the-shelf (COTS) components, RadSee eliminates development risk as well as the usual trade-off between cost and performance.
The relevance of the company’s approach to automotive radar was emphasized last week when RADA Electronic Industries announced its intent to make a $3M investment in RadSee. RADA is a global defense technology company focused on proprietary radar solutions.
The RadSee platform scales to accommodate different autonomy levels – standard, premium, and LiDAR-like – that are integrated, enabling widespread adoption across the entire spectrum of current and future automotive requirements. RadSee’s technology is available for integration into current ADAS design cycles as well as emerging autonomous vehicles.
Features and benefits of the RadSee 4D automotive imaging radar include:
- Scalable, portable and flexible for quick time-to-market
- Processor-agnostic, automotive-grade COTS implementations (unlike competing ASIC approaches)
- 400-meter range
- Angular resolution of 0.25°
- Static and dynamic object detection in a 120° field of view
- Complete flexibility to fit into existing Tier 1 and OEM systems
- Dramatically reduced development risks
- Small form-factor architecture for easy and elegant design integration
As a key safety feature, automotive cameras alone are unreliable when driving conditions are dark or glaringly bright, or when the weather is bad, and LiDAR remains prohibitively expensive. Per the company, Radar is proven effective under any conditions using radio-frequency transmitters and receivers to accurately determine the shape, size, and movement of all objects in view, no matter the environmental conditions.
For more information, visit: https://radsee.com/
