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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

394
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...
394
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

12.0K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.0K
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

415
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...
415
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

3.7K
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...
3.7K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

452
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
452
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

174
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
174

You might also read

Related Articles

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

Sort by
Same author

A rare case of intervertebral disc calcification combined with ossification of the posterior longitudinal ligament in a child: a case report and literature review.

BMC musculoskeletal disorders·2024
Same author

6'-<i>O</i>-Caffeoylarbutin from Quezui Tea: A Highly Effective and Safe Tyrosinase Inhibitor.

International journal of molecular sciences·2024
Same author

Regulation of polysaccharide in Wu-tou decoction on intestinal microflora and pharmacokinetics of small molecular compounds in AIA rats.

Chinese medicine·2024
Same author

High-risk characteristics of pathological stage I lung adenocarcinoma after resection: patients for whom adjuvant chemotherapy should be performed.

Heliyon·2023
Same author

XAF1 promotes colorectal cancer metastasis via VCP-RNF114-JUP axis.

The Journal of cell biology·2023
Same author

Polydopamine nanomaterials and their potential applications in the treatment of autoimmune diseases.

Drug delivery·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K

Spatio-Temporal Joint Optimization-Based Trajectory Planning Method for Autonomous Vehicles in Complex Urban

Jianhua Guo1, Zhihao Xie1, Ming Liu2

  • 1State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a novel spatio-temporal joint optimization trajectory planning (SJOTP) method for autonomous vehicles navigating complex urban environments. The approach ensures safe and efficient pathfinding by integrating multi-constraint optimization and collision avoidance algorithms.

Keywords:
autonomous vehicles navigationcollision avoidancemotion planning

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K

Related Experiment Videos

Last Updated: Jun 18, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Autonomous Systems

Background:

  • Safe and efficient trajectory planning is crucial for autonomous driving in dynamic urban settings.
  • Complex environments with multiple constraints challenge existing behavior planners, potentially leading to unsafe trajectories.
  • Current methods struggle to guarantee collision-free paths in intricate urban scenarios.

Purpose of the Study:

  • To introduce a spatio-temporal joint optimization-based trajectory planning (SJOTP) method for complex urban environments.
  • To address multi-constraint trajectory planning challenges, ensuring safety and efficiency.
  • To develop a robust solution for autonomous vehicle navigation.

Main Methods:

  • A behavior planner generates initial trajectory clusters.
  • A topology-guided hybrid A* algorithm on an inflated map mitigates static obstacle collisions.
  • Multi-constraint, multi-objective trajectory planning considers obstacles, road adhesion, and vehicle dynamics using differential-flatness and point-mass models.
  • A spatio-temporal joint optimization solver handles longitudinal and lateral coupling.

Main Results:

  • The SJOTP methodology successfully generated optimal trajectories in simulations.
  • The approach demonstrated safe and efficient path planning capabilities.
  • Verification on a multi-agent simulation platform confirmed the method's effectiveness.

Conclusions:

  • The proposed SJOTP method provides a viable solution for safe and efficient trajectory planning in complex urban environments.
  • The integration of multi-constraint optimization and advanced algorithms enhances autonomous vehicle navigation.
  • This research contributes to the advancement of reliable autonomous driving systems.