Calculation of the traction effort of ISEAUTO self-driving vehicle

Rassõlkin, Anton; Gevorkov, Levon; Vaimann, Toomas; Kallaste, Ants; Sell, Raivo

doi:10.1109/iwed.2018.8321397

Cited by 17 publications

(6 citation statements)

References 8 publications

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“…The master controller's main task is to forward information from and to the PC with the minimum delay. Mission-critical drive controllers manage a gearbox, brakes, hand brakes, a steering wheel, and a gas pedal [10].…”

Section: Safety System Construction and Overviewmentioning

confidence: 99%

Cyber-physical universal safety and crash detection system for autonomous robot

Pikner¹,

Malayjerdi²

2021

Robot. syst., appl.

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Multi-purpose mobile robots with a modular layout have become a hot research topic in recent years. The safe performance of these robot's operations is relying on the low-level cyber-physical system (CPS). In this paper, the scientific goals underscore the analysis of the computational (cyber) units for low-level real-time fault monitoring. The purpose of these units is to monitor control signals issued by other (cyber) units or sensors and if there is a safety-critical problem, then predefined actions can be triggered. The safety controller was built and tested on the TalTech iseAuto platform. Based on the results, a new multi-layer universal safety system was developed. In the first layer, all signals and messages are checked to be in a suitable range or order. The second layer detects if an accident is happening using crash sensors. The third layer includes remote control switches support. If a failure or malfunction occurs, the emergency action plan is executed to stop the vehicle safely.

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Section: Safety System Construction and Overviewmentioning

confidence: 99%

Cyber-physical universal safety and crash detection system for autonomous robot

Pikner¹,

Malayjerdi²

2021

Robot. syst., appl.

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“…4). With the existing robot platform and the current researches going on [7,10,11], it is necessary to go further into the communication between human beings and AVS [12]. The aim of this experiment is to gather the knowledge about:…”

Section: Self-driving Platform Developmentmentioning

confidence: 99%

Intelligent functions development on autonomous electric vehicle platform

Wang¹,

Sell²,

Rassõlkin³

et al. 2020

Journal of Machine Engineering

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Autonomous driving is no longer just an idea of technology vision instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more on mobile robots safety while bringing more challenges to human-vehicle interaction. A robot autonomous vehicle (AV) as a research platform operates an experimental study on human-AV-interaction (HAVI) and performs a novel method for mobile robot safety assurance. Not only autonomous driving technology itself but human cognition also performs an essential role in how to ensure better autonomous mobile robot safety. A Wizard-of-Oz experiment in the university combing a survey-based study indicates public attitudes towards driverless robot vehicles. HAVI experiment have been carried through light patterns designed for experiment. This paper presents an attempt to investigate humans' acceptance and emotions as well as a validation to bring the mobile robot vehicle to a high-level autonomy.

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“…Level-2 automation is similar to cruise control or original autopilot system on some Tesla vehicles, the car can automatically take safe and secure actions but the driver needs to be alert at the wheel. [1] Level 3: At this level, car will manage all safety and critical functions under certain circumstances, but the driver have to take over when alerted. Level-3 automation also requires a human driver, but the human is able to perform some safety-critical functions, over some traffic or environmental conditions.…”

Section: Levels Of Autonomymentioning

confidence: 99%

Self-Driving Car

Dhawan¹,

Agarwal²,

Kumar³

et al. 2020

IJSMS

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The numbers of road accidents are increasing worldwide day by day and most of them are due to human errors including rash driving, carelessness and mishandling. Also the traffic is a big problem in the world. This problem can only be handled by driver less car. The motive is to develop a robo-car that drives without a driver on lanes. It should follow the lane lines on particular track and turn according to the lane. It should contain feature to turn left and right and must take U-turn after detecting end of lane. This can be done by constructing a set of hardware that enables image processing. Algorithms are applied on the fly i.e. image processing is done on real time data. The pollution caused by traffic is enormous and environment is affected adversely. The pollutants release by cars is very minute. The traffic and pollution affect us badly and waste our time and it is very inconvenient. Thus we need an cheap and convenient alternative in order to decrease this risk.

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Calculation of the traction effort of ISEAUTO self-driving vehicle

Cited by 17 publications

References 8 publications

Cyber-physical universal safety and crash detection system for autonomous robot

Cyber-physical universal safety and crash detection system for autonomous robot

Intelligent functions development on autonomous electric vehicle platform

Self-Driving Car

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