CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
Friday, June 13, 2025
No Result
View All Result
CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
No Result
View All Result
CRYPTOREPORTCLUB

Addressing challenges in automated driving: A safe motion planning and control framework

April 1, 2024
154
0

April 1, 2024

Editors' notes

Related Post

AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured

AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured

June 13, 2025
Can AI help you identify a scam? An expert explains

Can AI help you identify a scam? An expert explains

June 13, 2025

This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

proofread

Addressing challenges in automated driving: A safe motion planning and control framework

Addressing SOTIF challenges in automated driving: A safe motion planning and control framework
Potentially hazardous behaviors and safety of the intended functionality. Credit: Hao Zheng, Yinong Li, Ling Zheng, Ehsan Hashemi Li, Ling Zheng, and Ehsan Hashemi

Automated vehicles (AVs) have become a critical link in the development of intelligent transportation systems owing to their vast potential to enhance safety, reduce energy consumption, and optimize traffic flow. With the increase of advanced functionalities included in AVs, safety during their operational phase is of paramount importance for the road vehicles industry.

However, there have been several fatal accidents involving AVs, which underscore the importance and urgency of guaranteeing their safety. The reasons for the above accidents can be attributed to three typical safety issues faced by AVs: Functional safety, safety of the intended functionality (SOTIF) and cybersecurity.

Among these three issues, the SOTIF stands out as both a current academic research hotspot and an immediate challenge for AV applications. The SOTIF aims to handle potentially hazardous behaviors, including insufficiencies or limitations related to the specifications, performance, and situational awareness, with or without reasonably foreseeable misuse, and surrounding impacts (e.g., other users, passive infrastructure, weather, and electromagnetic interference).

Given this consideration, a study published in Engineering entitled "Safe Motion Planning and Control Framework for Automated Vehicles with Zonotopic TRMPC" deduced that the current motion planning and control techniques also suffer from issues that fall within the scope of the SOTIF. For example, uncertainties such as model mismatches will inevitably lead to control errors in the future, however, the planning layer does not consider the impact of these errors within the planning cycle.

This study leverages set theory, robust control theory, and reachability analysis to propose a safe motion planning and control (SMPAC) framework, aiming at enhancing the SOTIF of automated driving under multi-dimensional uncertainties.

To realize the SMPAC framework, the authors employ advanced methodologies at both the control and planning layers of automated driving. At the control layer, they leverage set theory to efficiently analyze all possible uncertainties within the control loop through reachability analysis.

Building upon this analysis, they develop a flexible and efficient tube-based robust model predictive controller (TRMPC), ensuring convergence of all possible uncertainties' future evolutions to a minimal robust positively invariant set. Simultaneously, the TRMPC guarantees that the propagation of control errors over a certain horizon is bounded within a compact set.

Moving to the planning layer, the authors introduce a concept of safety set to describe the reachable geometric boundaries of the ego vehicle and obstacles. The safety sets are constructed according to the bounded compact set derived from control layer errors. They serve as fundamental constructs for subsequent trajectory evaluation and selection.

In summary, the deep integration of the zonotopic TRMPC at the control layer and the safety sets at the planning layer ensures that the actual trajectories of automated vehicles are always constrained within safe boundaries, thereby enhancing the SOTIF.

In hardware-in-the-loop experiments, the authors provide two typical scenarios: An active lane-changing scenario under extreme maneuvering conditions and a collision avoidance scenario under normal operating conditions. These experiments validate the safety, effectiveness, and real-time performance of the proposed SMPAC framework. They demonstrate that the SMPAC can reduce the potential hazardous/unknown regions within the categories of SOTIF in automated driving.

The authors encourage further research directions, including: Utilizing modern linearization methods to model vehicle systems, thereby refining disturbance sets to reduce the conservatism of the SMPAC framework and embedding state-of-the-art motion planning methods within the SMPAC framework to further enhance the capabilities of automated driving.

More information: Hao Zheng et al, Safe Motion Planning and Control Framework for Automated Vehicles with Zonotopic TRMPC, Engineering (2024). DOI: 10.1016/j.eng.2023.12.003

Provided by Engineering Citation: Addressing challenges in automated driving: A safe motion planning and control framework (2024, April 1) retrieved 1 April 2024 from https://techxplore.com/news/2024-04-automated-safe-motion-framework.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Researchers pioneer evolutionary decision-making for safer autonomous driving shares

Feedback to editors

Share213Tweet133ShareShare27ShareSend

Related Posts

AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured
AI

AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured

June 13, 2025
0

June 13, 2025 The GIST AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured Lisa Lock scientific editor Robert Egan associate editor Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the...

Read moreDetails
Can AI help you identify a scam? An expert explains

Can AI help you identify a scam? An expert explains

June 13, 2025
Six ways AI can partner with us in creative inquiry, inspired by media theorist Marshall McLuhan

Six ways AI can partner with us in creative inquiry, inspired by media theorist Marshall McLuhan

June 13, 2025
Innovative detection method makes AI smarter by cleaning up bad data before it learns

Innovative detection method makes AI smarter by cleaning up bad data before it learns

June 13, 2025
AI literacy: What it is, what it isn’t, who needs it and why it’s hard to define

AI literacy: What it is, what it isn’t, who needs it and why it’s hard to define

June 12, 2025
Q&A: Why improving robot design is essential to achieving true intelligence

Q&A: Why improving robot design is essential to achieving true intelligence

June 12, 2025
Less is more: Efficient pruning for reducing AI memory and computational cost

Less is more: Efficient pruning for reducing AI memory and computational cost

June 12, 2025

Recent News

Microsoft’s Copilot Vision AI helper is now available on Windows in the US

Microsoft’s Copilot Vision AI helper is now available on Windows in the US

June 13, 2025

Coinbase Makes Important Announcements at This Year’s Critical Cryptocurrency Summit

June 13, 2025
AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured

AI technology reconstructs 3D hand-object interactions from video, even when elements are obscured

June 13, 2025
WWDC 2025: iOS 26, new Liquid Glass design and everything else Apple announced

WWDC 2025: iOS 26, new Liquid Glass design and everything else Apple announced

June 13, 2025

TOP News

  • Meta plans stand-alone AI app

    Meta plans stand-alone AI app

    555 shares
    Share 222 Tweet 139
  • Kia’s EV4, its first electrical sedan, will probably be out there within the US later this 12 months

    560 shares
    Share 224 Tweet 140
  • New Pokémon Legends: Z-A trailer reveals a completely large model of Lumiose Metropolis

    560 shares
    Share 224 Tweet 140
  • Lazarus, the brand new anime from the creator of Cowboy Bebop, premieres April 5

    559 shares
    Share 224 Tweet 140
  • Pokémon Champions is all in regards to the battles

    557 shares
    Share 223 Tweet 139
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms of Use
Advertising: digestmediaholding@gmail.com

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Crypto news
  • AI
  • Technologies

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved