Journal ArticleDOI
Safe driving envelopes for path tracking in autonomous vehicles
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TLDR
In this paper, an alternative control framework that integrates local path planning and path tracking using model predictive control (MPC) is presented. But the controller is not designed for autonomous vehicles.About:
This article is published in Control Engineering Practice.The article was published on 2017-04-01. It has received 259 citations till now. The article focuses on the topics: Obstacle avoidance & Control theory.read more
Citations
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Journal ArticleDOI
A proposal of envelope theorem on the mixed traffic of pedestrians and various mobilities
Lubing Zou,Tetsuo Yai +1 more
TL;DR: For dealing with the mixed traffic and ensuring safe and comfortable walking environments of pedestrians, a new envelope theorem divided into physical and mental envelopes is proposed in this paper , which explains pedestrian perceptions from two perspectives, SME and OME, expanding the traditional interpersonal distance.
Journal ArticleDOI
Reconfigurability in Automobiles—Structure, Manufacturing and Algorithm for Automobiles
TL;DR: Zheng et al. as discussed by the authors developed a reconfigurable intelligent manufacturing factory of the automobiles with focus on reconfigurability in structures, manufactures and algorithms, thus advancing the level of the reconfigable intelligent manufacturing continuously.
Journal ArticleDOI
Research on deep correlation filter tracking based on channel importance
TL;DR: Zhang et al. as mentioned in this paper proposed a deep correlation filter tracking method based on channel importance to lighten the feature network, reduce the computation load and improve the tracking speed under the premise of ensuring the tracking accuracy.
Journal ArticleDOI
Human–Machine Cooperative Steering Control Considering Mitigating Human–Machine Conflict Based on Driver Trust
TL;DR: The effectiveness of the approach, such as guaranteeing vehicle safety and reducing physical workload and human–machine conflict, is verified by simulations under typical conditions and obstacle avoidance conditions based on veDYNA vehicle dynamics software.
Book
Path Planning and Tracking for Vehicle Collision Avoidance in Lateral and Longitudinal Motion Directions
Jie Ji,Hong Wang,Yue Ren +2 more
TL;DR: This research presents a probabilistic approach to solve the challenge of determining the optimal level of autonomy in Connected and Automated Vehicles (CAVs) without compromising on the quality of the vehicle.
References
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Book
Digital control of dynamic systems
TL;DR: This well-respected, market-leading text discusses the use of digital computers in the real-time control of dynamic systems and thoroughly integrates MATLAB statements and problems to offer readers a complete design picture.
Book
Tyre and vehicle dynamics
TL;DR: In this article, the wheel-shimmy phenomenon is considered in the context of dynamic tire testing and tire characteristics and vehicle handling and stability, and a variety of models are proposed.
Journal ArticleDOI
Stanley: The Robot that Won the DARPA Grand Challenge
Sebastian Thrun,Michael Montemerlo,Hendrik Dahlkamp,David Stavens,Andrei Aron,James Diebel,Philip Fong,John Gale,Morgan Halpenny,Gabriel M. Hoffmann,Kenny Lau,Celia M. Oakley,Mark Palatucci,Vaughan R. Pratt,Pascal Stang,Sven Strohband,Cedric Dupont,Lars-Erik Jendrossek,Christian Koelen,Charles Markey,Carlo Rummel,Joe van Niekerk,Eric Jensen,Philippe Alessandrini,Gary Bradski,Bob Davies,Scott M. Ettinger,Adrian Kaehler,Ara V. Nefian,Pamela Mahoney +29 more
TL;DR: The robot Stanley, which won the 2005 DARPA Grand Challenge, was developed for high‐speed desert driving without manual intervention and relied predominately on state‐of‐the‐art artificial intelligence technologies, such as machine learning and probabilistic reasoning.
Book
Tire and Vehicle Dynamics
TL;DR: Pacejka's model is the subject of continued development, particularly in extending its validity range to modelling higher frequencies and short wavelength obstacles and testing, which are covered in new chapters in the 2nd edition.
Journal ArticleDOI
CVXGEN: a code generator for embedded convex optimization
Jacob Mattingley,Stephen Boyd +1 more
TL;DR: This paper describes how CVXGEN is implemented, and gives some results on the speed and reliability of the automatically generated solvers.