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Reverse parking maneuvering of a vehicle with trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orientate the trailer properly. The problem…

Stabilizing multi-steered articulated vehicles in backward motion is a complex task for any human driver. Unless the vehicle is accurately steered, its structurally unstable joint-angle kinematics during reverse maneuvers can cause the…

Optimization and Control · Mathematics 2020-05-08 Oskar Ljungqvist , Daniel Axehill

The design of reliable path-following controllers is a key ingredient for successful deployment of self-driving vehicles. This controller-design problem is especially challenging for a general 2-trailer with a car-like tractor due to the…

Robotics · Computer Science 2020-05-07 Oskar Ljungqvist , Daniel Axehill , Henrik Pettersson

This paper proposes an event-triggered add-on safety mechanism to adjust the control parameters for timely braking in a networked vehicular system while maintaining maneuverability. Passenger vehicle maneuverability is significantly…

Systems and Control · Electrical Eng. & Systems 2019-11-22 Mohammad H. Mamduhi , Ehsan Hashemi , John S. Baras , Karl H. Johansson

Trailer parking is a challenging task due to the unstable nature of the vehicle-trailer system in reverse motion and the unintuitive steering actions required at the vehicle to accomplish the parking maneuver. This paper presents a strategy…

We analyze bias correction methods using jackknife, bootstrap, and Taylor series. We focus on the binomial model, and consider the problem of bias correction for estimating $f(p)$, where $f \in C[0,1]$ is arbitrary. We characterize the…

Statistics Theory · Mathematics 2020-06-17 Jiantao Jiao , Yanjun Han

In recent years, significant advancements have been made in the field of autonomous driving with the aim of increasing safety and efficiency. However, research that focuses on tractor-trailer vehicles is relatively sparse. Due to the…

Robotics · Computer Science 2024-01-11 Daniel Attard , Josef Bajada

This paper investigates truck-involved crashes to determine the statistically significant factors that contribute to injury severity under different weather conditions. The analysis uses crash data from the state of Ohio between 2011 and…

Applications · Statistics 2024-02-07 Majbah Uddin , Nathan Huynh

The interlock drive system generates traction by penetrating narrow articulated spikes into the ground and by using the strength of the deeper soil layers to resist horizontal draft forces. The system promises good tractive performance in…

Robotics · Computer Science 2023-04-25 Volker Nannen , Damian Bover

This paper presents a novel approach to avoiding jackknifing and mutual collisions in Heavy Articulated Vehicles (HAVs) by leveraging decentralized swarm intelligence. In contrast to typical swarm robotics research, our robots are elongated…

Robotics · Computer Science 2026-04-24 Adrian Schönnagel , Michael Dubé , Christoph Steup , Felix Keppler , Sanaz Mostaghim

There has been considerable interest in the active maneuvers made by a small number of vehicles to improve macroscopic traffic flows. Jam-absorption driving (JAD) is a single vehicle's maneuvers to remove a wide moving jam and consists of…

Physics and Society · Physics 2020-03-18 Ryosuke Nishi

Autonomous driving technology has rapidly evolved over the past decade, offering significant improvements in transportation efficiency, safety, and cost reduction. While much of the progress has focused on highway driving and obstacle…

Lane change is a very demanding driving task and number of traffic accidents are induced by mistaken maneuvers. An automated lane change system has the potential to reduce driver workload and to improve driving safety. One challenge is how…

Robotics · Computer Science 2021-01-01 Zheng Wang , Muhua Guan , Jin Lan , Bo Yang , Tsutomu Kaizuka , Junichi Taki , Kimihiko Nakano

This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. The maximal phase recoverable ellipse is presented as a safe…

Systems and Control · Electrical Eng. & Systems 2025-09-03 James Dallas , John Talbot , Makoto Suminaka , Michael Thompson , Thomas Lew , Gabor Orosz , John Subosits

Autonomous Vehicles (AVs), especially vision-based AVs, are rapidly being deployed without human operators. As AVs operate in safety-critical environments, understanding their robustness in an adversarial environment is an important…

Cryptography and Security · Computer Science 2026-05-05 Qi Sun , Ahmed Abdo , Luis Burbano , Ziyang Li , Yaxing Yao , Alvaro Cardenas , Yinzhi Cao

In this paper, we aim to extend the traditional point-mass-like robot representation in swarm robotics and instead study a swarm of long Heavy Articulated Vehicles (HAVs). HAVs are kinematically constrained, elongated, and articulated,…

Robotics · Computer Science 2026-04-24 Adrian Baruck , Michael Dubé , Christoph Steup , Sanaz Mostaghim

As part of the overall goal of driverless road vehicles, remote driving is a major emerging field of research of its own. Current remote driving concepts for public road traffic often establish a fallback strategy of immediate braking to a…

Systems and Control · Electrical Eng. & Systems 2025-02-17 Leon Johann Brettin , Niklas Braun , Robert Graubohm , Markus Maurer

Construction equipment is designed to maintain good traction, even when operating in difficult off-road conditions. To curb wheel slip, the vehicles are equipped with differential locks. A driver may engage/disengage the locks to switch…

Optimization and Control · Mathematics 2021-04-26 Johan Markdahl

Balancing path following accuracy and error convergence with graceful motion in steering control is challenging due to the competing nature of these requirements, especially across a range of operating speeds and conditions. This paper…

Robotics · Computer Science 2022-07-13 Ming Xin , Mark A. Minor

Time-to-collision (TTC) is a widely used measure for predicting rear-end collisions, assuming constant speed and heading for both vehicles in the prediction horizon. However, this conventional formulation cannot detect sideswipe collisions.…

Robotics · Computer Science 2025-08-11 Abhijeet Behera , Sogol Kharrazi , Erik Frisk , Maytheewat Aramrattana
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