Recently, Lidwave announced the successful acquisition of $10 million in funding aimed at enhancing machine vision capabilities, particularly in key applications such as pedestrian detection in busy environments. Lidwave's CEO Yehuda Vidal stated in an interview that their innovative 4D LiDAR technology integrates complex Lidar sensors into a single chip, marking not only a technological revolution but also helping to reduce costs and expand the market. Note: Image from Lidwave's official website. This round of funding was backed by Jump.

In the wave of technological innovation, Norwegian startup Sonair is sparking a revolution in perception technology. They cleverly introduce ultrasonic technology into the field of autonomous hardware 3D computer vision, challenging the long-standing dominance of LiDAR. Sonair's founder and CEO Knut Sandven has proposed an audacious idea: using ultrasonic technology to read sound waves for detecting people and objects to achieve 3D imaging. This technology not only boasts low energy consumption and minimal computational requirements but also promises to be superior to currently widely used solutions.

In the 37th America's Cup sailing race, the WindSightIQ program introduced television broadcasting for the first time, visualizing the wind field as augmented and virtual reality graphics through LiDAR, sensor fusion, and scientific computation technology. This helps viewers understand the key wind factors in sailing. While crew members still need to rely on intuition and training to plan their routes, commentators and viewers can now see wind direction patterns in real-time, comparing actual performance with the optimal path, thereby participating in the race at an unprecedented level. This innovation offers a brand new viewing experience, making wind, which is typically invisible, ...

The AI systems relied upon by autonomous vehicles play a critical role in decision-making, environmental perception, and predictive modeling. However, research from the University at Buffalo has unveiled the risks of these systems potentially being subjected to attacks. The study indicates that while current research is conducted in controlled environments, the discovered vulnerabilities in AI models related to radar detection could have far-reaching implications for the industry. 'Brick masks' made with 3D printing and metal foils can make vehicles 'disappear' in radar detection and potentially interfere with pedestrian detection. The motivations behind such attack methods include insurance fraud, competition, or malicious harm.