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For applications in navigation and robotics, estimating the 3D pose of objects is as important as detection. Many approaches to pose estimation rely on detecting or tracking parts or keypoints [11, 21]. In this paper we build on a recent state-of-the-art convolutional network for slidingwindow detection [10] to provide detection and rough pose estimation in a single shot, without intermediate stages...
The multicore revolution is having limited impact in safety-critical application domains. A key reason is the "one-out-of-m" problem: when validating real-time constraints on an m-core platform, excessive analysis pessimism can effectively negate the processing capacity of the additional m-1 cores so that only "one core's worth" of capacity is available. Two approaches have been...
This study presents a technique for fast precise coating an optically clear adhesive (OCA) layer. A well-sealed loop dispensing system and a small multi-nozzle array are developed. Step-difference depth for obtaining highly reliable adhesive thickness is schemed to facilitate estimation of the total amount of adhesive needed for dispensing, and thus save on subsequent procedures such as shaving and...
This paper proposes a shared-variable-based approach for fast and accurate multi-core cache coherence simulation. While the intuitive, conventional approach - synchronizing at either every cycle or memory access - gives accurate simulation results, it has poor performance due to huge simulation overloads. We observe that timing synchronization is only needed before shared variable accesses in order...
Ideally, multi-core instruction-set simulation should run in parallel to improve simulation performance. However, the conventional low-parallelism centralized scheduler greatly constrains simulation performance. To resolve this issue, we propose a high-parallelism distributed scheduling mechanism. The experimental results show that our proposed approach accelerates simulation by 6 to 20 times, depending...
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