Video-based range estimation for automotive applications: Performance analysis and specification

汽车应用中基于视频的距离估计：性能分析和规范

• 批准号: 385516-2009
• 负责人: Wildes, Richard
• 金额: $ 2.86万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=463521
• 关键词: Video; based; range; estimation; automotive

The research that my collaborators and I carry out is in the general area of computer vision, the attempt to endow machines with a sense of sight. From a theoretical point of view this is an important endeavor as it bears on fundamental issues in complex information processing, and may yield results that bear on our understanding of visual information processing in natural systems (e.g., humans), as well. From a practical point of view, machines that can see have the potential to interact with humans in a much more natural and useful fashion than is currently the case. The research encompassed in this particular proposal represents a collaborative effort between Canadian academia (York University) and industry (General Motors of Canada). It is concerned with rigorously characterizing the performance of video camera-based computer vision technology for estimation of relative 3D distance and direction to environmental objects from a moving vehicle. Distance and direction to environmental objects are required for collision avoidance, obstacle detection and parking. Analogous to the role of vision in human perception, video-based sensing in automobiles is anticipated to play a key role in the quest to build a human-like perception around vehicles; performance specification, as set forth in the current proposal, will be key to realizing this potential. This research contributes to Canada in three important ways. First, it will enable advanced automotive technology via incorporation of video-based sensing on next generation vehicles and thereby enhance the competitiveness of the Canadian automotive supply chain. Second, it more generally will advance the discipline of computer vision through rigorous performance evaluation of 3D distance and orientation estimation techniques and thereby pave the way for incorporation of such methods in vision machines; this allows Canada to compete successfully in a critical area of science and technology. Third, it provides students with hands on experience and skills in vital areas of investigation, computer vision and, more generally, computer science and engineering. Students go on to make careers in science, technology, teaching and elsewhere, taking with them the enrichment of having been involved in research.

我和我的合作者进行的研究是在计算机视觉的一般领域，试图赋予机器视觉。从理论的角度来看，这是一项重要的奋进，因为它关系到复杂信息处理中的基本问题，并且可能产生影响我们对自然系统中视觉信息处理的理解的结果（例如，人），也。从实践的角度来看，可以看到的机器有可能以比目前更自然和有用的方式与人类互动。本特别提案所包含的研究是加拿大学术界（约克大学）和工业界（加拿大通用汽车公司）之间的合作努力。它涉及严格表征基于视频摄像机的计算机视觉技术的性能，用于估计从移动车辆到环境对象的相对3D距离和方向。为了避免碰撞、障碍物检测和停车，需要与环境物体的距离和方向。类似于视觉在人类感知中的作用，汽车中基于视频的传感预计将在寻求围绕车辆建立类似人类的感知方面发挥关键作用;如当前提案所述，性能规范将是实现这一潜力的关键。这项研究在三个重要方面对加拿大做出了贡献。首先，它将通过在下一代汽车上采用基于视频的传感技术来实现先进的汽车技术，从而提高加拿大汽车供应链的竞争力。其次，它将通过对3D距离和方向估计技术进行严格的性能评估来推进计算机视觉学科，从而为将这些方法纳入视觉机器铺平道路;这使加拿大能够在科学和技术的关键领域成功竞争。第三，它为学生提供调查，计算机视觉以及更广泛的计算机科学和工程重要领域的实践经验和技能。学生继续在科学，技术，教学和其他地方的职业生涯，与他们一起参与研究的丰富。