Review on Kernel based Target Tracking for Autonomous Driving
نویسندگان
چکیده
منابع مشابه
Review on Kernel based Target Tracking for Autonomous Driving
Significant progress has been made in the field of autonomous driving during the past decades. However, fully autonomous driving in urban traffic is still extremely difficult in the near future. Visual tracking of vehicles or pedestrians is an essential part of autonomous driving. Among these tracking methods, kernel-based object tracking is an effective means of tracking in video sequences. Th...
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Situational awareness is crucial for autonomous driving in urban environments. This paper describes the moving vehicle detection and tracking module that we developed for our autonomous driving robot Junior. The robot won second place in the Urban Grand Challenge, an autonomous driving race organized by the U.S. Government in 2007. The module provides reliable detection and tracking of moving v...
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Situational awareness is crucial for autonomous driving in urban environments. This paper describes moving vehicle tracking module that we developed for our autonomous driving robot Junior. The robot won second place in the Urban Grand Challenge, an autonomous driving race organized by the U.S. Government in 2007. The tracking module provides reliable tracking of moving vehicles from a high-spe...
متن کاملKernel-Based Motion-Blurred Target Tracking
Motion blurs are pervasive in real captured video data, especially for hand-held cameras and smartphone cameras because of their low frame rate and material quality. This paper presents a novel Kernelbased motion-Blurred target Tracking (KBT) approach to accurately locate objects in motion blurred video sequence, without explicitly performing deblurring. To model the underlying motion blurs, we...
متن کاملKernel Bandwidth Adaptive Target Tracking Algorithm Based on Mean - Shift
The kernel bandwidth of the classical Mean-Shift tracking algorithm is fixed, and it usually results in tracking failure when the target’s size changes. A kernel bandwidth adaptive Mean-Shift tracking algorithm is presented with frame difference method to solve the question in this paper. According to the targets’ size obtained from the inter-frame difference method, the bandwidth matrix of ker...
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ژورنال
عنوان ژورنال: Journal of Information Processing
سال: 2016
ISSN: 1882-6652
DOI: 10.2197/ipsjjip.24.49