Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Controller Configurations01:22

Controller Configurations

101
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
101
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.2K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.8K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

647
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
647
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

337
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
337

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Elucidation of Enhanced Lysine Sensing via Pt-Functionalized 2D WS<sub>2</sub> for Biosensing Applications.

ACS applied materials & interfaces·2026
Same author

Diffusion-based skin disease data augmentation with fine-grained detail preservation and interpolation for data diversity.

PloS one·2025
Same author

A Comparative Study and Optimization of Camera-Based BEV Segmentation for Real-Time Autonomous Driving.

Sensors (Basel, Switzerland)·2025
Same author

Macrophage memory emerges from coordinated transcription factor and chromatin dynamics.

Cell systems·2025
Same author

Selective denoising autoencoder for classification of noisy gas mixtures using 2D transition metal dichalcogenides.

Talanta·2024
Same author

Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System.

Sensors (Basel, Switzerland)·2024

相关实验视频

Updated: Jul 7, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

为自动驾驶提供多任务学习的最佳配置.

Woomin Jun1,2, Minjun Son1,2, Jisang Yoo1,2

  • 1Electronic Engineering, Dong Seoul University, Seongnam 13117, Republic of Korea.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

本研究介绍了一种用于自动驾驶的多任务学习 (MTL) 优化算法 (MDO),提高图像识别任务的准确性和减少延迟. MDO算法有效地选择和优化任务组合,提高整体系统性能.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 自动驾驶需要高精度,来自各种传感器的实时图像识别.
  • 目前的硬件限制限制限制了同时处理复杂视觉任务的可行性.
  • 多任务学习 (MTL) 为高效并行处理多个图像识别任务提供了解决方案.

研究的目的:

  • 研究MTL用于优化在硬件限制下自动驾驶的图像识别任务.
  • 提出一种新的多任务决策和优化 (MDO) 算法,以提高处理速度,准确性和内存效率.
  • 分析跨任务相关性 (ITC) 以有效构建多任务集 (MTS).

主要方法:

  • 开发了三个步骤的MDO算法:MTS选择,共享的骨干/子网训练和网络压缩.
  • 嵌入式半监督学习 (SSL) 用于额外的性能提升.
  • 基于对象检测mAP,车道检测准确度和延迟减少的评估性能.

主要成果:

  • MDO算法有效地构建了具有高ITC的MTS,这对于集成精度至关重要.
  • 拟议的MDO算法与SSL相结合,实现了显著的改进.
  • 与以前的方法相比,在物体检测mAP中显示了12%的增加,在车道检测准确度上有15%的改进,以及27%的延迟减少.
关键词:
自动驾驶自动驾驶的自动驾驶.深度估计估计的估计.可驾驶区域细分的划分.车道检测系统 车道检测系统多任务学习是多任务学习.对象检测检测对象检测对象检测

更多相关视频

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

2.4K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.4K

相关实验视频

Last Updated: Jul 7, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

2.4K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.4K

结论:

  • 在MTL中,集成精度性能非常依赖于任务间相关性 (ITC).
  • MDO算法为优化MTL配置以实现自动驾驶提供了一个有效的框架.
  • 提出的方法显著优于现有的多任务学习技术,为更高效的自主系统铺平了道路.