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Laser scanners are widely used as the primary sensor for autonomous driving. When the commercialization of autonomous driving is considered, a 2.5-D multi-layer laser scanner is one of the best sensor options. In this paper, a new method is presented to detect pedestrians and vehicles using a 2.5-D multi-layer laser scanner. The proposed method consists of three steps: 1) segmentation; 2) feature...
In this paper, we propose a Collision warning system for rear-end collision situation to avoid an accident. There are many complex situations in roadway. Therefore, we focus on a rear-end collision which is a common traffic accident wherein a vehicle crashes into the vehicle in front of it. The state of vehicles and the TTC are used to state features and LDA is used to project the state features into...
In this paper, the target recognition system using 24GHz radar for intelligent vehicle is represented. Several kind of radar measurement features are included to get performance. The proposed method is verified by experiments. The support vector machine based classification system is implemented. The result of the system is compared with other previous methods.
Indoor localization is essential technology in service robot market. To localize the position of robot, laser scanner is widely used. But it has limit that laser scanner has probability return unexpected data when the space that the robot operate is too crowded. In this dynamic environment, the robot needs another sensor to complement weakness of laser scanner. This paper proposes vision sensor for...
We propose the modified dynamic window approach for indoor transport robot. The dynamic window approach is the popular collision avoidance algorithm that considers the heading direction of the robot, the distance to the obstacle, and the velocity of the robot. The objective function of the DWA thinks faster speed is better but it is very dangerous when there are many people around. They will feel...
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