Interpreting the Significance of 4D Imaging in Automotive Safety

4D Imaging

4D Imaging

How using the 4D imaging radar sensors will ensure automotive safety?

4D imaging radar leverages echolocation systems to capture and provide exceptional resolution and an ultra-wide field of view of an object’s environment. It uses the time-of-flight principle for the measurement of an object and captures a space in three dimensional. 4D imaging radar sensors can be used in ensuring vehicle safety as they are able to determine an ultra-wide field of view for precise classification of the complete vehicle environment. According to the data from the U.S. National Highway Traffic Safety Administration (NHTSA), 94 percent of accidents are caused by drivers’ errors.

Using sensors can help detect and localize the environment around the vehicle and minimize the risks of accidents. In an article, Head of Automotive at Vayyar, Ian Podkamien noted that multifunctional 4D imaging radar sensors can help OEMs and Tier 1s to meet current and future safety requirements. Nearly 22 billion sensors are employed in vehicles annually with IHS Markit forecasting a 40 percent increase in sensor-related costs from 2018 to 2030.

Advanced Driver Assistance Systems (ADAS) are one of the popular vehicle security systems designed to assist drivers. These systems employ numerous radars that capture the environment around a vehicle. Currently, radars come with a range between 24GHz and 77GHz bandwidth. Suppliers increasingly focus on migrating to 77GHz for all applications since they support improved accuracy in the distance, efficient speed measurements, and more precise angular resolution.

Now as we are heading towards an autonomous vehicles ecosystem, the automotive industry must use radar systems. Radar systems currently play a pivotal role in ADAS features such as adaptive cruise control, spot detection, and automated emergency braking. They are rapidly becoming an essential part for OEMs and suppliers to drive different ADAS functions at relatively economical pricing. However, along with object classification, radars also pose the biggest drawbacks as they find complexities in detecting small objects such as a bicyclist or a lamp post.

To address such challenges in automotive applications, radar suppliers need to make a functional choice between medium resolution with a limited FoV or low resolution with a wider FoV. It is also essential that radar system providers use high-resolution radars capable of sensing the environment at a wide angle of 100⁰ FoV.

Unlike cameras and lidar systems, 4D imaging radar sensors works in any sort of condition. These sensors provide the highest reliability and consistency in different weather conditions, including fog, heavy rain, and air pollution. 4D imaging radar also has the potential to handle the task of autonomy on its own. It senses objects at a distance far beyond 300 meters and capture the size and velocity of an object in front of or moving toward the vehicle or away.