The SAE MOBILUS platform will continue to be accessible and populated with high quality technical content during the coronavirus (COVID-19) pandemic. x

Your Selections

Zhou, Huajian
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Events

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An Efficient Path Planning Methodology Based on the Starting Region Selection

Hunan University-Xin Chen, Zhaobo Qin, Liang Chen
North China University of Technology-Jingjing Fan
  • Technical Paper
  • 2020-01-0118
To be published on 2020-04-14 by SAE International in United States
Automated parking is an efficient way to solve parking difficulties and path planning is of great concern for parking maneuvers [1]. Meanwhile, the starting region of path planning greatly affects the parking process and efficiency. The present research of the starting region are mostly determined based on a single algorithm, which limits the flexibility and efficiency of planning feasible paths. This paper, taking parallel parking and vertical parking for example, proposes a method to calculate the starting region and select the most suitable path planning algorithm for parking, which can improve the parking efficiency and reduce the complexity. The collision situations of each path planning algorithm are analyzed under collision-free conditions based on parallel and vertical parking. The starting region for each algorithm can then be calculated under collision-free conditions. After that, applicable starting regions for parking can be obtained, and each of those regions corresponds to a parking path planning algorithm. However, there always exists overlapped starting regions, which can be applied to multiple parking path planning algorithms. In order to select the most…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An Improved Probabilistic Threat Assessment Method for Intelligent Vehicles in Critical Rear-End Situations

Chinese Academy of Engineering-Zhihua Zhong
Tsinghua University-Huajian Zhou, Xiaowei Wang, Jin Huang
  • Technical Paper
  • 2020-01-0698
To be published on 2020-04-14 by SAE International in United States
Threat assessment (TA) method is vital in the decision-making process of intelligent vehicles (IVs), especially for ADAS systems. In the research of TA, the probabilistic threat assessment (PTA) method is acting an increasing role, which can reduce the uncertainties of driver’s maneuvers. However, the driver behavior model (DBM) used in present PTA methods was mainly constructed by limited data or simple functions, which is not entirely reasonable and may affect the performance of the TA process. This work aims to utilize crash data extracted from Event Data Recorder (EDR) to establish more accurate DBM and improve the current PTA method in rear-end situations. EDR data with responsive maneuvers were firstly collected, which were then employed to construct the initial DBM (I-DBM) model by using the multivariate Gaussian distribution (MGD) framework. Besides, the model was further subdivided into six parts by two important risk indicators, Time-to-collision (TTC) and velocity. To accurately represent the driver’s maneuvers in critical situations, unresponsive samples were introduced and the I-DBMs were upgraded by the Gaussian mixture model (GMM). The obtained DBMs…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An SVM-Based Method Combining AEB and Airbag Systems to Reduce Injury of Unbelted Occupants

Hunan University-Manjiang Hu
Tongji University&Tsinghua University-Zhihua Zhong
Published 2018-04-03 by SAE International in United States
An autonomous emergency braking (AEB) system can detect emergency conditions using sensors (e.g., radar and camera) to automatically activate the braking actuator without driver input. However, during the hard braking phase, crash conditions for the restraint system can easily change (e.g., vehicle velocity and occupant position), causing an out-of-position (OOP) phenomenon, especially for unbelted occupants entering the airbag deployment range, which may lead to more severe injuries than in a normal position. A critical step in reducing the injury of unbelted occupants would be to design an AEB system while considering the effect of deployed airbags on the occupants. Thus far, few studies have paid attention to the compatibility between AEB and airbag systems for unbelted occupants.This study aims to provide a method that combines AEB and airbag systems to explore the potential injury reduction capabilities for unbelted occupants. By dividing the distance between the driver’s head and the top of the steering wheel into five regions, the possible area of head position was obtained by computational investigation for several combinations of braking acceleration and…
This content contains downloadable datasets
Annotation ability available