Lane Change Assistance

Bartels, Arne; Meinecke, Marc-Michael; Steinmeyer, Simon

doi:10.1007/978-3-319-12352-3_50

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Current lane change assistance systems apply different warning strategies depending on the escalation interval. These warnings include yellow or red signs, blinking lights at the mirror or A-pillar, and acoustic signals, in agreement with ISO standard 17387 [12,13].…”

Section: Introductionsupporting

confidence: 78%

Conceptual Testing of Visual HMIs for Merging of Trucks

Dreger

Winter

Shyrokau

et al. 2019

Advances in Human Factors of Transportation

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Merging sections are challenging for drivers of heavy goods vehicles. Visual support for merging was evaluated in a simulator. Experiment 1 tested HMIs that provided participants (n = 5) driving on the on-ramp with a top view or various forms of speed advice for accelerating behind or in front of a truck platoon on the freeway. Experiment 2 tested HMIs that provided drivers (n = 18) on the acceleration lane with a top view complemented with speed and gap advice for finding a gap to merge in. Experiment 1 showed that speed advice yielded less unnecessary braking compared to unsupported driving. In Experiment 2, speed advice yielded low satisfaction ratings. Our results highlight the potential of visual support and stress the importance of not visually overloading the driver.

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Section: Introductionsupporting

confidence: 78%

Conceptual Testing of Visual HMIs for Merging of Trucks

Dreger

Winter

Shyrokau

et al. 2019

Advances in Human Factors of Transportation

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“…The last few decades have seen a dramatic increase in the number of vehicles utilizing Advanced Driver Assistance Systems (ADAS), such as intelligent headlights [3], lane change assistance [2], and even the first attempts of automatic driving systems [6,14,15,18]. Although currently far from having feasible totally automated driving systems, there are several intermediate levels of driving automation for on-road vehicles, according to the SAE international standard J3016 [12], based on the system core functionality.…”

Section: Introductionmentioning

confidence: 99%

LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode

Minhas

Hernàndez-Sabaté

Ehsan

et al. 2016

Lecture Notes in Computer Science

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Photorealistic virtual environments are crucial for developing and testing automated driving systems in a safe way during trials. As commercially available simulators are expensive and bulky, this paper presents a low-cost, extendable, and easy-to-use (LEE) virtual environment with the aim to highlight its utility for level 3 driving automation. In particular, an experiment is performed using the presented simulator to explore the influence of different variables regarding control transfer of the car after the system was driving autonomously in a highway scenario. The results show that the speed of the car at the time when the system needs to transfer the control to the human driver is critical.

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