Non-line-of-sight Imaging for Advanced Automotive Sensing

成像系统的能力必须继续扩大，以跟上迅速崛起的技术的步伐。对被遮挡物遮挡的物体成像对于许多应用来说都是一个巨大的挑战。一个可以“看到角落”的摄像头可以帮助提高自动驾驶汽车的导航和地图绘制能力，使车辆能够检测到下一个弯道或另一辆车以外的地方。提供这种非视距(NLOS)能力的传感技术可以帮助自动驾驶汽车变得更安全，并为其他机器视觉系统释放前所未有的潜力。通过蒙特雷亚尔大学和阿尔法卢克斯公司之间的这一新合作，我们希望深入了解允许高分辨率NLOS成像的系统的可行性。合作的目标是展示一个原型系统，该系统验证了我们的概念，并实现了非视距成像的分辨率比今天的方法高出一个数量级。

The capacity of imaging systems must continue to expand to keep pace with rapidly emerging technologies. Imaging objects obscured by occluders poses a significant challenge for many applications. A camera that could "see around corners" could help improve navigation and mapping capabilities of autonomous vehicles, allowing vehicles to detect what lies beyond the next bend or another car. Sensing technology offering such non-line-of-sight (NLOS) capabilities could help make self-driving cars safer and unlock unprecedented potential for other machine vision systems.Through this new collaboration between the Université de Montréal and Algolux Inc., we would like to gain insights into the feasibility of a system that allows for high-resolution NLOS imaging. The goal of the collaboration is to demonstrate a prototype system that validates our concepts and achieves an order of magnitude higher resolution for NLOS imaging than today's methods.