Ambarella has filed a patent for a method and system for radar-based localization and mapping. The method involves transmitting radar probe signals that are reflected by targets in the environment, determining Doppler information and egospeed of the radar sensor, and using this data to determine the egorotation component of the radar sensor. The system includes radar sensors, vehicles, and auxiliary sensors. GlobalData’s report on Ambarella gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Ambarella, Cloud gaming was a key innovation area identified from patents. Ambarella's grant share as of September 2023 was 87%. Grant share is based on the ratio of number of grants to total number of patents.

Radar-based localization and mapping method using doppler information

Source: United States Patent and Trademark Office (USPTO). Credit: Ambarella Inc

A recently filed patent (Publication Number: US20230305141A1) describes a method for radar-based localization. The method involves transmitting two radar probe signals that are reflected by multiple targets in the surrounding environment of a radar sensor. The reflected signals are received by the radar sensor, and based on these signals, a set of Doppler information is determined for each target. The method also involves determining the egospeed of the radar sensor and selecting a stationary target from the multiple targets. Using the Doppler information, egospeed, and angular position of the stationary target, an egorotation component of the radar sensor is determined.

The patent also includes additional claims and variations of the method. For example, determining the egospeed can be based on Doppler information associated with the reflected signals received at the radar sensor. The egospeed determination can also take into account the egovelocity direction, which can be estimated to be aligned with the forward orientation of a vehicle to which the radar sensor is mechanically coupled.

Furthermore, the patent describes the determination of a second egorotation component about a second reference axis, which is orthogonal to the reference axis. This can be done by estimating that the second egorotation component is zero. The method also allows for the selection of multiple stationary targets, and a measure of central tendency can be determined based on the indicative values associated with these targets.

The patent also mentions the use of an auxiliary sensor, such as a wheel rotation sensor or a camera, to sample information for determining the egospeed or egorotation component. Additionally, the method can involve the use of a radar sensor with multiple receiver elements, where each reflected signal is received independently at each receiver element. This allows for the selection of portions of reflected signals received at each receiver element to determine the Doppler information and the egorotation component.

Overall, the patent presents a method for radar-based localization that utilizes reflected signals, Doppler information, egospeed, and angular position to determine the egorotation component of a radar sensor. The method offers various options and variations to improve accuracy and adaptability in different scenarios.

To know more about GlobalData’s detailed insights on Ambarella, buy the report here.

Data Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.