With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …
The road accidents trigger major financial loss and casualties to the individual as well as the state as a whole. The intelligent safety systems are developed to provide all road users with …
Scenario-based testing will help to validate automated driving systems (ADS) and establish safer road traffic. To date, most data-driven test scenario generation methods rely primarily …
D Shen, Y Chen, L Li - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
This paper presents a novel state-feedback switching linear parameter varying (LPV) control for automated vehicle path following under model uncertainty and external disturbances. A …
Trajectory tracking control is very crucial for autonomous vehicles (AVs). However, its performance can be degraded due to the time-varying velocities of AVs and their parametric …
M Bäumler, F Linke, G Prokop - IEEE Access, 2024 - ieeexplore.ieee.org
This survey aims to provide an overview of various methods for generating data-driven test scenarios for assessing automated driving systems (ADSs). The survey updates the overall …
LE Riexinger, HC Gabler - Traffic Injury Prevention, 2020 - Taylor & Francis
Objective Run-off-road (ROR) crashes account for one-third of all annual crash fatalities in the US. The National Automotive Sampling System Crashworthiness Data System …
Scenario-based testing will help to validate automated driving systems (ADS) and establish safer road traffic. To date, most data-driven test scenario generation methods rely primarily …
LiDAR-camera fusion is one of the core processes for the perception system of current automated driving systems. The typical sensor fusion process includes a list of coordinate …