A Collision Detection Processor for Intelligent Vehicles (Special Issue on ASICs for Automotive Electronics)

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概要

• 論文の詳細を見る

• Since carelessness in driving causes a terrible traffic accident, it is an important subject for a vehicle to avoid collision autonomously. Real-time collision detection between a vehicle and obstacles will be a key target for the next-generation car electronics system. In collision detection, a large storage capacity is usually required to store the 3-D information on the obstacles located in a workspace. Moreover, high-computational power is essential not only in coordinate transformation but also in matching operation. In the proposed collision detection VLSI processor, the matching operation is drastically accelerated by using a Content-Addressable Memory (CAM) which evaluates the magnitude relationships between an input word and all the stored words in parallel. A new obstacle representation based on a union of rectangular solids is also used to reduce the obstacle memory capacity, so that the collision detection can be performed only by parallel magnitude comparison. Parallel architecture using several identical processor elements (PEs) is employed to perform the coordinate transformation at high speed based on the COordinate Rotation DIgital Computation (CORDIC) algorithms. The collision detection time becomes 5.2 ms using 20 PEs and five CAMs with a 42-kbit capacity.

• 社団法人電子情報通信学会の論文
• 1993-12-25

著者

• Kameyama Michitaka

  Graduate School of Information Sciences, Tohoku University

• HARIYAMA Masanori

  Graduate School of Information Sciences, Tohoku University

• Hariyama Masanori

  Graduate School Of Information Sciences Tohoku University

• Kameyama Michitaka

  Graduate School Of Information Science Tohoku University

• Kameyama Michitaka

  Graduate School Of Information Sciences And Also With The Faculty Of Engineering Tohoku University

• Kameyama Michitaka

  Graduate School of Information Sciences, and also with the Faculty of Engineering, Tohoku University

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