Multi-View 3D Object Detection Network for Autonomous Driving

This paper aims at high-accuracy 3D object detection in autonomous driving scenario. We propose Multi-View 3D networks (MV3D), a sensory-fusion framework that takes both LIDAR point cloud and RGB images as input and predicts oriented 3D bounding boxes. We encode the sparse 3D point cloud with a compact multi-view representation. The network is composed of two subnetworks: one for 3D object proposal generation and another for multi-view feature fusion. The proposal network generates 3D candidate boxes efficiently from the bird's eye view representation of 3D point cloud. We design a deep fusion scheme to combine region-wise features from multiple views and enable interactions between intermediate layers of different paths. Experiments on the challenging KITTI benchmark show that our approach outperforms the state-of-the-art by around 25% and 30% AP on the tasks of 3D localization and 3D detection. In addition, for 2D detection, our approach obtains 10.3% higher AP than the state-of-the-art on the hard data among the LIDAR-based methods.Comment: To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 201

THE DISTRIBUTION SYSTEM OF PUBLIC HOUSING BASED ON MULTI-OBJECTIVE MATCHING: A CASE STUDY OF HUANGSHI CITY

The rapid rate of China’s urbanization in recent years arises greater demand of houses. To ease the housing shortage, Chinese authority has been building or collecting a large amount of public housing. However, as the large-scale construction of public housing has been promoted, an increasing number of people focus their eyes on the equitable distribution of these houses. This paper aims to establish a distribution system of public housing with the research in Huangshi City (a city in central China). We affirm the importance of priority and housing preference of applicant families, on the basis of which we discuss operating principle of the distribution system based on the multi-objective programming, and advance two ways of model solutions as well. At last, we propose an algorithm instance to verify feasibility of the distribution system, and make the comparison between two types of algorithms as well