Results 251 to 260 of about 2,449,627 (313)

Automatic Lane-Changing Trajectory Planning: From Self-Optimum to Local-Optimum

IEEE transactions on intelligent transportation systems (Print), 2022
Existing lane-changing (LC) algorithms in general prioritize self-interest above the benefits of others. We argue that an autonomous vehicle should be socially responsible during lane change without causing excessive impact on its surroundings.
Yang Li, Lin-Bo Li, Daiheng Ni, Wenxuan Wang   +3 more
semanticscholar   +1 more source

Lane-Changing Trajectory Planning Model for Automated Vehicles Driving on a Curved Road

Transportation Research Record, 2022
This paper attempts to study the lane-changing trajectory planning problem of automated vehicles driving on a curved road. The existing models have the following shortcomings.
Hao Luo, Min Wang, Wei-Ming Luo, W. Lv, Da Yang   +4 more
semanticscholar   +1 more source

Lane-Change Detection Based on Vehicle-Trajectory Prediction

IEEE Robotics and Automation Letters, 2017
We propose a new detection method to predict a vehicle's trajectory and use it for detecting lane changes of surrounding vehicles. According to the previous research, more than 90% of the car crashes are caused by human errors, and lane changes are the main factor.
Hanwool Woo, Yonghoon Ji, Hitoshi Kono, Yusuke Tamura, Yasuhide Kuroda, Takashi Sugano, Yasunori Yamamoto, Atsushi Yamashita, Hajime Asama   +8 more
openaire   +1 more source

Adaptive Method to Trajectory Tracking for Lane Changing

Applied Mechanics and Materials, 2014
In the presence of parametric uncertainty, the adaptive control method for lane changing of intelligent vehicle was studied. Based on the lateral dynamical model of vehicle, by applying terminal sliding mode technology, the yaw-rate tracking control law for lane changing was designed and the estimation formula for uncertain control parameters was ...
Dian Bo Ren, Guan Zhe Zhang, Cong Wang
openaire   +1 more source

Comparison of Ideal Vehicle Lane-Change Trajectories

SAE Technical Paper Series, 1997
<div class="htmlview paragraph">This paper seeks to compare various models of desired, or <i>ideal</i>, vehicle lane-change trajectories or paths and to determine which is best based on selected criteria. Background information is presented covering the utility of lane-change maneuvers, lane-change terminology, and known desired open ...
Nathaniel H. Sledge, Kurt M. Marshek
openaire   +1 more source

Trajectory Planning and Maneuver Control to Assist Lane Change

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021
This paper explores the way to maneuver the autonomous vehicle from one lane to another. In the advent of automating the ground vehicle, lateral control pays a pivotal role in determining the navigation of vehicles. The lane change feature is designed to aid drivers during maneuver from one lane to the adjacent lane.
Soumyo Das, Tejas Mantri, Ravina Tembhurkar   +2 more
openaire   +1 more source

Efficient and Eco Lane-Changing Trajectory Planning for Connected and Automated Vehicles: Deep Reinforcement Learning-Based Method

IEEE transactions on intelligent transportation systems (Print)
A deep reinforcement learning-based method for planning the lane-changing trajectory of connected and automated vehicles (CAVs) is proposed to increase traffic efficiency and reduce fuel consumption.
Shou-Cai Jing, Yao Feng, Fei Hui, Jianbei Liu, Xiang-Mo Zhao, A. Khattak   +5 more
semanticscholar   +1 more source

Naturalistic Lane Change Analysis for Human-Like Trajectory Generation

2018 IEEE Intelligent Vehicles Symposium (IV), 2018
Human-like driving is of great significance for safety and comfort of autonomous vehicles, but existing trajectory planning methods for on-road vehicles rarely take the similarity with human behavior into consideration. From a representative trajectory-generation-based planning algorithm, this paper analyzes the systematic deviation of the generated ...
Donghao Xu, Zhezhang Ding, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard   +5 more
openaire   +2 more sources

A Self-Selection Personalized Lane-Changing Trajectory Prediction Approach Through a Hybrid Deep Learning Model

IEEE Transactions on Vehicular Technology
The difference between the desired trajectory of the drivers and the lane change trajectory of autonomous vehicles is one of the crucial factors that limit their development.
Zhao Li, Xia Zhao, Chen Zhao, Yong-Tao Liu, Chang Wang   +4 more
semanticscholar   +1 more source

Learning lane change trajectories from on-road driving data

2012 IEEE Intelligent Vehicles Symposium, 2012
Lane change is one of the most principle driving behaviors on structure roads. It frequently happens in daily driving. A key issue in lane change technique is trajectory planning, where a set of trajectories describing possible vehicle motions are generated by applying a parametric function, and by uniformly sampling the end states in configuration ...
Wen Yao, Huijing Zhao, Franck Davoine, Hongbin Zha   +3 more
openaire   +1 more source