Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Efficient deep network for vision-based object detection in robotic applications
Vision-based object detection is essential for a multitude of robotic applications. However, it
is also a challenging job due to the diversity of the environments in which such applications …
is also a challenging job due to the diversity of the environments in which such applications …
Temperature control based on fuzzy logic using atmega 2560 microcontroller
The country of Indonesia has a tropical climate. During the dry season there will be more hot
conditions. For the middle class, the use of fans is needed as a neutralizer for hot …
conditions. For the middle class, the use of fans is needed as a neutralizer for hot …
Real-time motorbike detection: AI on the edge perspective
Motorbikes are an integral part of transportation in emerging countries, but unfortunately,
motorbike users are also one the most vulnerable road users (VRUs) and are engaged in a …
motorbike users are also one the most vulnerable road users (VRUs) and are engaged in a …
Control of a movable robot head using vision-based object tracking.
This paper presents a visual tracking system to support the movement of the robot head for
detecting the existence of objects. Object identification and object position estimation were …
detecting the existence of objects. Object identification and object position estimation were …
A generative learning approach to sensor fusion and change detection
We present a system for performing multi-sensor fusion that learns from experience, ie, from
training data and propose that learning methods are the most appropriate approaches to …
training data and propose that learning methods are the most appropriate approaches to …
Dynamic attention priors: a new and efficient concept for improving object detection
Recent psychophysical evidence in humans suggests that visual attention is a highly
dynamic and predictive process involving precise models of object trajectories. We present a …
dynamic and predictive process involving precise models of object trajectories. We present a …
A generative-discriminative learning model for noisy information fusion
This article is concerned with the acquisition of mul-timodal integration capacities by
learning algorithms. Humans seem to perform statistically optimal fusion, and this ability may …
learning algorithms. Humans seem to perform statistically optimal fusion, and this ability may …
[PDF][PDF] Design of an intelligent car for searching track and avoiding obstacles
D Yang, T Liu, C Hu - International Journal on Smart Sensing and …, 2015 - sciendo.com
With the rapid development of informational and intelligent technology, the mobile robot has
become an important branch of robot. In this paper, through UP-InnoSTARTM robot kits for …
become an important branch of robot. In this paper, through UP-InnoSTARTM robot kits for …
Scene context is more than a Bayesian prior: Competitive vehicle detection with restricted detectors
We present an approach for making use of scene or situation context in object detection,
aiming for state-of-the-art performance while dramatically reducing computational cost …
aiming for state-of-the-art performance while dramatically reducing computational cost …
[PDF][PDF] Prediction of driver behavior
M Garcia Ortiz - 2014 - core.ac.uk
In the previous chapter, we studied behavior prediction in inner-city scenarios. In this
chapter, we will study behavior prediction on highways, in the scenario of a lane change by …
chapter, we will study behavior prediction on highways, in the scenario of a lane change by …