Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

666
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...
666
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

465
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
465
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

418
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
418
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
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

365
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...
365
Distributed Loads01:19

Distributed Loads

553
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
553

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Design of a 3D High-Definition Map Visualizer for Pose Estimation and Autonomous Navigation in Dynamic Environments.

Sensors (Basel, Switzerland)·2026
Same author

Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination.

Sensors (Basel, Switzerland)·2025
Same author

Impacts of graphene oxide contamination on a food web: Threats to somatic and reproductive health of organisms.

Ecotoxicology and environmental safety·2024
Same author

Consensus-Based Information Filtering in Distributed LiDAR Sensor Network for Tracking Mobile Robots.

Sensors (Basel, Switzerland)·2024
Same author

A survey on 3D object detection in real time for autonomous driving.

Frontiers in robotics and AI·2024
Same author

Comparison of salivary MicroRNA-6734, microRNA-3123 and microRNA-4483 expression in smoker and nonsmoker patients: a case control study.

Minerva dental and oral science·2023

Related Experiment Video

Updated: Jul 15, 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

Driving safety zone model oriented motion planning framework for autonomous truck platooning.

Hong Wang1, Lei Song1, Zichun Wei2

  • 1School of Vehicle and Mobility, Tsinghua University, Beijing 10081, China.

Accident; Analysis and Prevention
|September 24, 2023
PubMed
Summary

The proposed driving-safety-zone-model-oriented motion planning framework (DSZMF) enhances autonomous truck platoons' safety in mixed traffic. It improves safe time integration rates and reduces collision risks by considering explicit and implicit traffic rules.

Keywords:
Autonomous platooningDriving safety zoneMotion controlSafety assurance

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Related Experiment Videos

Last Updated: Jul 15, 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
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Area of Science:

  • Autonomous Systems
  • Robotics
  • Traffic Engineering

Background:

  • Autonomous platoons face challenges in heterogeneous environments with complex human-vehicle interactions.
  • Existing frameworks may not fully address safety and rule adherence in mixed traffic scenarios.

Purpose of the Study:

  • To propose a novel motion planning framework (DSZMF) for autonomous truck platoons.
  • To enhance safety and adherence to traffic rules in mixed human-driven and autonomous vehicle environments.

Main Methods:

  • Extension of the Responsibility-Sensitive-Safety (RSS) model to create a driving safety zone model (restricted, coordinated, pre-cautionary zones).
  • Development of a Rational Traffic Participant (RTP) module using Finite State Machine (FSM) for behavioral strategy.
  • Utilization of distributed model predictive controllers and H infinity controller for motion planning and string stability.

Main Results:

  • DSZMF improved the safe time integration rate by 18.9%, 11.1%, and 11.6% over the MCF in three critical scenarios.
  • Increased minimum longitudinal and lateral Time to Collision (TTC) values, reducing collision risks.
  • Validated efficacy in safety assurance and collaborative control for autonomous platoons.

Conclusions:

  • The DSZMF framework effectively enhances safety and collaborative control for autonomous platoons.
  • The proposed method ensures adherence to traffic rules and improves stability in complex driving environments.