Our software
Our data-driven development engine is our pride and joy. It’s the secret to effectively bridging the gap between insights and reality on the roads.
Development
We continuously improve our software to tackle the complexities of traffic. Each breakthrough is shared with the fleet, and then we start again. The faster we accelerate this cycle, the safer the roads will be.
Performance
Discover how the Volvo EX90 has ushered in a new era of safety, blending human insight with advanced technology. With Lidar, cameras, sensors, and AI-driven systems, the car acts like a guardian angel – always alert, even when the driver is not.
Our software is built for three operating modes: Drive, Cruise, and Ride. Drive functions are always activated, while Cruise features must be turned on. Ride indicates self-driving and is permitted in limited environments. The key distinction between the modes lies in their supervised versus unsupervised nature.
Drive includes features such as automatic braking and steering, which alert or intervene when necessary to prevent the car from crashing. These features are usually activated but typically remain silent, meaning drivers don’t have to adjust to them.
Cruise helps the driver maintain distance, speed, and lane position. Drivers can enable these features to enhance safety and reduce effort. Cruise mode aligns with the *SAE Automation Level 2 category, requiring driver supervision at all times.
Ride means the car assumes complete control of the driving task in specific traffic environments. This corresponds with automation Levels 3 and 4 according to the SAE standard. This mode is limited to designated road segments, but the capability will expand.
Development
The Zenseact Open Dataset is a large, multi-modal dataset for autonomous driving. It was collected over two years across 14 European countries, using vehicles equipped with a complete set of sensors. Watch the video or read more about the data.
AI is critical for effectively detecting and classifying objects in complex driving situations. It allows quick and accurate processing of large amounts of data, enabling navigation. In short, AI helps create safer and more reliable automation. But how can we be sure it behaves?
We use lidar, radar, and cameras to collect data on lane markings, cars, bicycles, trucks, and countless other objects. Read more about data collection in our Privacy Policy.
Performance
When the Polestar 3 was launched, driver support was an important consideration. The release was a big step towards making driving safer, and we’re thrilled to make the Polestar 3 smarter, safer, and more convenient to drive.
来自中国的访客？请关注Zenseact官方微信号获取更多信息。
Are you located in China? Follow us on WeChat for regular updates!
