Autonomous Vehicles and Machines 2023 Conference Overview and Papers Program

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Abstract

Abstract Advancements in sensing, computing, image processing, and computer vision technologies are enabling unprecedented growth and interest in autonomous vehicles and intelligent machines, from self-driving cars to unmanned drones, to personal service robots. These new capabilities have the potential to fundamentally change the way people live, work, commute, and connect with each other, and will undoubtedly provoke entirely new applications and commercial opportunities for generations to come. The main focus of AVM is perception. This begins with sensing. While imaging continues to be an essential emphasis in all EI conferences, AVM also embraces other sensing modalities important to autonomous navigation, including radar, LiDAR, and time of flight. Realization of autonomous systems also includes purpose-built processors, e.g., ISPs, vision processors, DNN accelerators, as well core image processing and computer vision algorithms, system design and architecture, simulation, and image/video quality. AVM topics are at the intersection of these multi-disciplinary areas. AVM is the Perception Conference that bridges the imaging and vision communities, connecting the dots for the entire software and hardware stack for perception, helping people design globally optimized algorithms, processors, and systems for intelligent “eyes” for vehicles and machines.
自动驾驶汽车和机器2023会议概述和论文计划
传感、计算、图像处理和计算机视觉技术的进步使人们对自动驾驶汽车和智能机器的兴趣空前增长,从自动驾驶汽车到无人驾驶飞机,再到个人服务机器人。这些新功能有可能从根本上改变人们的生活、工作、通勤和相互联系的方式,毫无疑问,这将为子孙后代带来全新的应用和商业机会。AVM的主要焦点是感知。这要从感知开始。虽然成像仍然是所有EI会议的重要重点,但AVM还包括其他对自主导航很重要的传感模式,包括雷达、激光雷达和飞行时间。自主系统的实现还包括专用处理器,例如isp,视觉处理器,DNN加速器,以及核心图像处理和计算机视觉算法,系统设计和架构,仿真和图像/视频质量。AVM主题是这些多学科领域的交叉点。AVM是连接成像和视觉社区的感知会议,连接整个感知软件和硬件堆栈的点,帮助人们为车辆和机器的智能“眼睛”设计全球优化的算法,处理器和系统。
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