| 1. | Commercial vehicles and towed vehicles - obstacle detection devices during reversing - requirements and tests
商用车辆和挂车.倒车时障碍物的检测装置.要求和试验 |
| 2. | The focus of this dissertation can be divided into two parts : obstacle detection for autonomous land vehicle ( alv ) and self - localization for indoor mobile robots
在第一部分研究内容中，重点研究陆地移动机器人( autonomouslandvehicle )的障碍检测问题。 |
| 3. | Then the two 2d lrf based obstacle detection system was carefully designed and consequently the algorithm based on multi - sensor data fusion was presented
接下来作者设计了采用两个2d激光测距雷达的alv障碍检测系统，并提出了基于多传感器数据融合的障碍检测方法。 |
| 4. | A height - gradient - based obstacle detection algorithm is proposed to process the height images outputted by stereo vision . the obstacles in scenes can be detected exactly and quickly in this way
立体视觉算法通常输出的是高度图,本文提出了一种基于高度梯度的障碍检测算法,能有效且快速的检测出场景中的障碍。 |
| 5. | On the first subject of this dissertation , a concise review of the relationship between range perception sensors and obstacle detection methods was presented . comparing results show that laser range finder ( lrf ) is a preferred sensor for obstacle detection
作者回顾了移动机器人的障碍检测研究中所采用的各种传感器和实现方法，分析比较了每种方法的优缺点，指出采用激光测距雷达是比较好的选择。 |
| 6. | A detailed geometric analysis of obstacle detection system for alv was presented by considering the safety requirements of alv . the ranging error caused by various environmental factors and inevitable vibration of alv was discussed as well
然后将障碍检测子系统和alv整体结合在一起，从系统的角度对障碍检测的要求进行了分析，并讨论了各种环境因素和alv车体运动对lms激光测距雷达测距造成的误差影响。 |
| 7. | Due to the two different tasks of obstacle detection : recognition of obstacles from roadsides and accurate positioning the obstacles , the dempster - shafer evidence theory based identification and extend kalman filtering based target tracking technique were adopted respectively
具体地说，是采用了基于d - s证据理论的身份识别技术和基于扩展卡尔曼滤波的目标跟踪技术，来分别完成障碍检测中障碍和路边的识别以及障碍准确位置的确定两大主要任务。 |
| 8. | First of all , via comparing several familiar measure methods , this paper supplies a measure technique of monocular image analysis , which includes lane detection and obstacle detection . and then the paper sets up the model on distance between two vehicles . in the end , the result and analysis of the system processing is given , and the system is estimated in three aspects , further some improvements are advanced
本文首先通过对比各种常见车距测量方法引出单目图像分析的测量技术，该系统包括车道检测和前车检测两部分；然后建立了车距测量模型；最后给出系统处理结果及分析，并从三个方面对系统进行了评价，提出了改进措施。 |
