3D Object detection is a critical mission of the perception system of a self-driving vehicle.Existing bounding box-based methods are hard to train due to the need to remove duplicated detections in the post-processing stage.In this paper, we propose a center point-based deep neural network (DNN) architecture named RCBi-CenterNet that predicts the a
Brick-and-mortar pharmacies are facing strong competition from online pharmacies and are using digital techniques in their salesrooms as a counterstrategy.This study examines how digitalization Cooking Systems affects purchase intentions among German customers.Perceived purchase risk, as a barrier to purchase, is compared for three types of pharmac
Background: It was alleged that the termination of pregnancy (TOP) services in a certain district health facility were forgoing the opportunity to offer screening tests for human immunodeficiency virus (HIV) and syphilis for women seeking legal medical abortions.In addition, there were concerns regarding the lack of provision of contraceptive servi
Abstract Vehicle re-id play a very import role in recent public safety, it has received more and more attention.The local features (e.g.hanging decorations and stickers) are widely used for vehicle re-id, but the same local feature exists in one perspective, but not exactly exists in other perspectives.In this paper, we firstly use experiments to v
This Conditioner paper studies the propagation of supersonic radiative Marshak waves.These waves are radiation dominated and play an important role in inertial confinement fusion and in astrophysical and laboratory systems.For that reason, this phenomenon has attracted considerable experimental attention in recent decades in several different facil