Experiments of Autonomous Vehicles Running at a Test Track, and Future Prospects

Author(s):  
Kazunori Munehiro ◽  
Naohisa Nakamura ◽  
Masaya Sato
Author(s):  
Xing Xu ◽  
Minglei Li ◽  
Feng Wang ◽  
Ju Xie ◽  
Xiaohan Wu ◽  
...  

A human-like trajectory could give a safe and comfortable feeling for the occupants in an autonomous vehicle especially in corners. The research of this paper focuses on planning a human-like trajectory along a section road on a test track using optimal control method that could reflect natural driving behaviour considering the sense of natural and comfortable for the passengers, which could improve the acceptability of driverless vehicles in the future. A mass point vehicle dynamic model is modelled in the curvilinear coordinate system, then an optimal trajectory is generated by using an optimal control method. The optimal control problem is formulated and then solved by using the Matlab tool GPOPS-II. Trials are carried out on a test track, and the tested data are collected and processed, then the trajectory data in different corners are obtained. Different TLCs calculations are derived and applied to different track sections. After that, the human driver’s trajectories and the optimal line are compared to see the correlation using TLC methods. The results show that the optimal trajectory shows a similar trend with human’s trajectories to some extent when driving through a corner although it is not so perfectly aligned with the tested trajectories, which could conform with people’s driving intuition and improve the occupants’ comfort when driving in a corner. This could improve the acceptability of AVs in the automotive market in the future. The driver tends to move to the outside of the lane gradually after passing the apex when driving in corners on the road with hard-lines on both sides.


Author(s):  
Ayush Srivastava

Sovereign vehicles are the smart vehicles of this upcoming era, expected to be driverless, competent, and collision free vehicles. To achieve this aim, automakers have begun to work in this area to understand the depth and overcome the present hurdles in order to achieve the desired end. The first challenge in this strategy would be to absorb current practices in conventional vehicles in order to transfer them to self-driving vehicles through the adoption and implementation of several emerging technologies. This encompasses the goals of autonomous vehicles as well as the challenges of implementing them. The existing Automated vehicles (AVs) controversy isn't about whether or not they should be employed; they're currently in use. Rather, such worries are increasingly focused on how developing technology will impact evolving transportation networks, our social environment, and the people who live in it, as well as whether such systems should be completely automated or remain under human control. This research adds to the body of knowledge by attempting to shed light on future prospects as well as potential roadblocks linked with AV technology. We want to address these concerns and offer some solutions to the difficulties that are currently surfacing.


2021 ◽  
Vol 13 (10) ◽  
pp. 5602
Author(s):  
Melih Yildiz ◽  
Burcu Bilgiç ◽  
Utku Kale ◽  
Dániel Rohács

Autonomous Vehicles (AVs) represent an emerging and disruptive technology that provides a great opportunity for future transport not only to have a positive social and environmental impact but also traffic safety. AV use in daily life has been extensively studied in the literature in various dimensions, however; it is time for AVs to go further which is another technological aspect of communication. Vehicle-to-Vehicle (V2V) technology is an emerging issue that is expected to be a mutual part of AVs and transportation safety in the near future. V2V is widely discussed by its deployment possibilities not only by means of communication, even to be used as an energy transfer medium. ZalaZONE Proving Ground is a 265-hectare high-tech test track for conventional, electric as well as connected, assisted, and automated vehicles. This paper investigates the use of drones for tracking the cars on the test track. The drones are planned to work as an uplink for the data collected by the onboard sensors of the car. The car is expected to communicate with the drone which is flying in coordination. For the communication 868 MHz is selected to be used between the car and the drone. The test is performed to simulate different flight altitudes of drones. The signal strength of the communication is analyzed, and a model is developed which can be used for the future planning of the test track applications.


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