It's critical for an autonomous vehicle to acquire accurate and real-time information of the objects in its vicinity, which will fully guarantee the safety of the passengers and vehicle in various environment. 3D LIDAR can directly obtain the position and geometrical structure of the object within its detection range, while vision camera is very suitable for object recognition. Accordingly, this paper presents a novel object detection and identification method fusing the complementary information of two kind of sensors. We first utilize the 3D LIDAR data to generate accurate object-region proposals effectively. Then, these candidates are mapped into the image space where the regions of interest (ROI) of the proposals are selected and input to a convolutional neural network (CNN) for further object recognition. In order to identify all sizes of objects precisely, we combine the features of the last three layers of the CNN to extract multi-scale features of the ROIs. The evaluation results on the KITTI dataset demonstrate that : (1) Unlike sliding windows that produce thousands of candidate object-region proposals, 3D LIDAR provides an average of 86 real candidates per frame and the minimal recall rate is higher than 95%, which greatly lowers the proposals extraction time; (2) The average processing time for each frame of the proposed method is only 66.79ms, which meets the real-time demand of autonomous vehicles; (3) The average identification accuracies of our method for car and pedestrian on the moderate level are 89.04% and 78.18% respectively, which outperform most previous methods.

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Reading plays a dominant role among the four skills in foreign language acquisition for college students. Unfortunately, over the past few decades, English teaching practice shows that Chinese students are vulnerable in it. Both their reading speed and their reading skills are far from being satisfactory. Schema theory presents a very efficient course in developing students' reading skills and improving their reading abilities. Based on a descriptive research, this paper aims to expound on the schema theory, its activation and construction on college English reading class. The research shows that the application of the theory is fulfilled throughout the whole reading process by designing various activities before, during and after the reading. The results testifies the assumption that its application is beneficial to cultivate students' reading interest, quicken their reading speed and make proper judgments.