news

한어Русский языкEnglishFrançaisIndonesianSanskrit日本語DeutschPortuguêsΕλληνικάespañolItalianoSuomalainenLatina

While the auto industry appears to be making great strides toward a self-driving future, safety remains a top priority. According to the National Safety Council, in 2023, “more than 46,000 people will die in avoidable traffic accidents,” and the road traffic death rate has increased by nearly 22% compared to 2019. While self-driving technology has the potential to significantly improve road safety, these statistics and many other information indicate that the auto industry cannot wait for this vision to become a reality.

Even in scenarios where human drivers are still needed, technology can significantly reduce the risk of accidents and mitigate potential harm to drivers, passengers and even pedestrians. Companies that put safety first at the beginning of design not only demonstrate their firm commitment to responsibility and innovation, but will also greatly enhance consumer trust and ensure a smoother transition of technology as it develops. Ultimately, putting safety first will pave a safer and more efficient future transportation path for everyone.

Compared with traditional radar, perception radar has a deeper and more comprehensive understanding of the surrounding environment. Therefore, it has shown its advantages, especially in the face of challenging driving scenarios, and can quickly and significantly improve safety and reliability. Whether it is ensuring safe lane changes or detecting pedestrians in advance, perception radar is an important tool for enhancing road safety.

Highway driving application case

In highway driving, every moment is at high speed and every second is crucial. Perception imaging radar improves the driving experience on highways by providing enhanced safety data and more information earlier. In addition, the reliable high-resolution data provided by perception radar effectively makes up for the shortcomings of visual sensors in long-range detection, specific lighting conditions and adverse weather conditions.

Detecting lost cargo

The nature of highway driving poses significant challenges to vehicle safety systems. One of the key issues is the ability to detect lost cargo early, such as small objects that completely or partially block a road lane. Camera sensors play a vital role in a variety of driving conditions, but they perform well at short distances and have limitations in long-range detection, which can be critical to avoid collisions with unexpected obstacles. Arbe's perception radar combines high sensitivity, high dynamic range, and excellent resolution in azimuth and elevation, enabling it to detect small objects at long distances (more than 150 meters), even in the presence of larger objects such as vehicles or guardrails. This superior capability enables the vehicle to make intelligent decisions about potential hazards, such as determining whether an object (such as a manhole cover) can be driven over or avoided. This radar capability enables autonomous driving on highways at speeds of up to 130 km/h, while the current functional maximum speed limit is only 60 km/h.

Automatic emergency braking

Automatic emergency braking systems rely on accurate and timely object detection to prevent or mitigate collisions. Arbe's perception radar excels in this regard, providing reliable and delay-free detection in all weather and lighting conditions. This enables the automatic emergency braking system to make intelligent decisions and perform necessary braking operations. The radar's high resolution and long-range detection capabilities allow potential hazards to be identified early even in challenging driving environments. In addition, the system's excellent reliability is essential to prevent collisions and reduce false alarms. By balancing sensitivity and reliability, Arbe's perception radar significantly improves the overall effectiveness of automatic emergency braking systems, thereby improving road safety.

Automatic emergency steering

In high-speed emergency situations where braking is not possible immediately, the automatic emergency steering system needs to make decisions quickly. Arbe's perception radar provides this system with crucial long-range, high-resolution data, allowing it to detect upcoming hazards and effectively assess and predict lane availability. The radar can accurately detect potential obstacles (such as motorcycles) at a long distance and provide precise target position and speed information for the entire area around the vehicle. This allows the vehicle to safely perform avoidance maneuvers, significantly reducing the risk of collision in hazardous driving conditions.

Pedestrian Detection

Protecting pedestrians is a major concern for modern automotive safety. Detecting pedestrians at long distances in challenging conditions such as darkness or inclement weather is critical to preventing accidents. Arbe's perception radar successfully meets this challenge with its superior sensitivity and dynamic range, enabling the system to identify pedestrians at greater distances than traditional radar systems. Early pedestrian detection enables the vehicle to perform safe path planning maneuvers, effectively protecting the safety of pedestrians and vehicle occupants. By providing important information about the location and movement of pedestrians, Arbe's perception radar improves overall road safety.

Safe driving through tunnels and bridges

Autonomous vehicles face unique challenges when traversing tunnels and under bridges due to variable and rapidly changing lighting conditions and limited visibility. Traditional sensors like cameras often perform poorly in these environments, which can pose safety risks. Arbe's perception radar effectively solves these problems. By combining high sensitivity and dynamic range, the radar successfully overcomes the light sensitivity limitations of camera sensors when vehicles enter and exit tunnels. In addition, the radar's excellent resolution in azimuth and elevation is critical for safely traversing under bridges. At the same time, Arbe's radar can also reliably detect and classify long-range targets, such as vehicles or motorcycles that may obstruct underbridges or elevated roads. Finally, the high-resolution point cloud data provided by the radar supports accurate assessment of available driving space, allowing vehicles to safely traverse underbridge passages without unnecessary braking or sharp turns.

Summarize

In addition to the application cases explored above, perception radar has also achieved improvements or innovative applications in many other areas. Whether it is parking assistance, blind spot detection, or intersection warnings, especially in application cases for highway and urban driving scenarios, the advantages of perception radar are particularly prominent, significantly improving the safety, efficiency and convenience of road driving. Although perception radar is shaping future autonomous vehicles to enable precise navigation on highways and urban areas, its contribution to advanced driver assistance systems (ADAS) and L2+ autonomous driving functions has already emerged and can be used to further enhance the safety of these systems.