A Massively Parallel Approach to Real-Time Vision-Based Road Markings Detection
نویسنده
چکیده
This paper presents the vision-based road detection system currently operative onto the MOB-LAB land vehicle. Based on a full-custom low-cost massively parallel system, it achieves real-time performances (' 17 Hz) in the processing of image sequences, thanks to the extremely eecient implementation of the algorithm. Assuming a at road and the complete set of acquisition parameters to be known (camera position, orientation, optics,...), the system is capable to detect road markings on structured roads even in extremely severe shadow conditions.
منابع مشابه
The Evolution of a Massively Parallel Vision System for Real-Time Automotive Image Processing
This paper presents the first prototype of the PAPRICA massively parallel system which is integrated on the MOBLAB experimental land vehicle for real-time vision-based road markings detection. Its main bottlenecks are highlighted and its evolution toward a linear array is discussed. This system has been enhanced with a simple but powerful interprocessor communication network for the exchange of...
متن کاملRobust Real-Time Lane and Road Detection in Critical Shadow Conditions
This paper presents the vision-based road detection system currently installed onto the MOB-LAB land vehicle. Based on a geometrical transform and on a fast morphological processing, the system is capable to detect road markings even in extremely severe shadow conditions on at and structured roads. The use of a special-purpose massively architecture (PAPRICA) allows to achieve a processing rate...
متن کاملGOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
This paper describes the generic obstacle and lane detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to increment road safety. Based on a full-custom massively parallel hardware, it allows to detect both generic obstacles (without constraints on symmetry or shape) and the lane position in a structured environment (with painted lane m...
متن کاملVision-Based Road Detection in Automotive Systems: A Real-Time Expectation-Driven Approach
The main aim of this work is the development of a vision-based road detection system fast enough to cope with the di cult real-time constraints imposed by moving vehicle applications. The hardware platform, a special-purpose massively parallel system, has been chosen to minimize system production and operational costs. This paper presents a novel approach to expectation-driven low-level image s...
متن کاملA Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...
متن کامل