“一期工程计划将于9月30日完成，随后投入运营。”今日，长沙市委常委高山调研我省首个智能汽车驾驶测试区——湖南湘江新区智能网联测试区项目时，项目相关负责人如此介绍项目进展情况。

　　无人驾驶汽车已成汽车产业发展的新趋势。作为全国第七个无人驾驶测试基地，湖南湘江新区智能网联测试区涉及汽车越野、汽车文化体验、旅游等多种功能。目前，前期设计、拆迁、证照等工作已近扫尾，测试场区建设正快速推进。

　　来源: 三湘都市报

　　【测试区】BrainInspired Cognitive Model with Attention

　　forSelf-Driving Cars

　　【一句话点评】多关注点驾驶员认知是非常必要的

　　Perception-driven approach and end-to-end system are two major vision-based frameworks for self-driving cars. However, it is difficult to introduce attention and historical information of autonomous driving process, which are the essential factors for achieving human-like driving into these two methods. In this paper, we propose a novel model for self-driving cars named brain-inspired cognitive model with attention (CMA). This model consists of three parts: a convolutional neural network for simulating human visual cortex, a cognitive map built to describe relationships between objects in complex traffic scene and a recurrent neural network that combines with the realtime updated cognitive map to implement attention mechanism and long-short term memory. The benefit of our model is that can accurately solve three tasks simultaneously: i) detection of the free space and boundaries of the current and adjacent lanes. ii)estimation of obstacle distance and vehicle attitude, and iii) learning of driving behavior and decision making from human driver. More significantly, the proposed model could accept external navigating instructions during an end-to-end driving process. For evaluation, we build a large-scale roadvehicle dataset which contains more than forty thousand labeled road images captured by three cameras on our self-driving car. Moreover, human driving activities and vehicle states are recorded in the meanwhile.

　　【作者简介】小猴机器人，人工智能博士，自动驾驶技术爱好者，参与多个自动驾驶项目研发，有丰富的行业经验，尤其决策规划控制方面了解深入。