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• A new method for machine vision: a significant obstacle detection system with ultra-wide FOV LWIR stereo vision system is proposed. Compared with visible imaging system, it is not sensitive to illumination and shadow; compared with small field of view infrared imaging system, it eliminates the blind spot and provides accurate depth information. • This paper proposes a salient region detection method based on a composite pattern, which realizes the detection of multi-scale salient region in the ultra-wide FOV LWIR images. Intelligent driving is an active area of research in both industry and academia. In order to overcome the shortcomings of traditional machine vision such as visibility is easily affected by illumination conditions, the blind area of infrared small field of view (FOV) is too large and could not provide depth information, this paper proposes a method for detecting significant obstacles based on ultra-wide FOV long-wave infrared (LWIR) stereo vision system. The stereo vision positioning location with ultra-wide FOV is established by the generalized fisheye camera model. On the basis of analyzing obstacle imaging scale and the structure characteristics of the proposed stereo vision system, a multi-scale salient region detection method based on composite pattern is proposed, and its implementation process is described in detail. Experiment shows that the proposed ultra-wide FOV LWIR stereo vision system is able to detect and locate significant obstacles in ultra-wide FOV and the detection rate of pedestrians and vehicles in real complex street scenes is over 92.6%. At the same time, the relative error of pedestrian positioning with a distance of 5 m to 30 m near the central FOV is between 1.6%-10.3%, and its spatial location ability and advantages are verified. The proposed stereo vision system effectively overcomes the shortcomings of existing vision systems, expands the scope of machine vision, and can be used in the field of assistant driving and intelligent driving. [ABSTRACT FROM AUTHOR]

Abstract: The production of microbial lipids by a batch or fed-batch culture of oleaginous yeast was compared using glucose and corncob hydrolysate as carbon sources. Batch cultures using 4%(w/w) glucose as the carbon source reached a dry biomass, lipid yields and cellular lipid content of 9.4g/l, 6.0g/l and 63.5%(w/w), respectively. However, batch cultures demonstrated that there was an inhibitory effect on the biomass and lipid yields when the glucose concentration increased up to 6%(w/w). It was found that the fed-batch culture diminished the substrate’s inhibition of microbial lipid-accumulation. Fed-batch cultures in the corncob hydrolysate-based media containing an initial 4% reducing sugar and an addition 2% glucose for 4d of cultivation resulted in dry biomass and cellular lipid content of 10.8g/l and 61.3%(w/w), respectively. The overall lipid productivity increased to 1.08g/l/d for the fed-batch culture with an initial 4% glucose in corncob hydrolysate and an addition of corncob hydrolysate containing 2% glucose. High concentrations of reducing sugar in the corncob hydrolysate can be efficiently and rapidly converted to Cryptococcus lipid in the fed-batch culture system. Therefore, microbial lipids from Cryptococcus sp. are prospects for a potential alternative oil resource for biodiesel production. [Copyright &y& Elsevier]