2020 IEEE Intelligent Vehicles Symposium (IV) 2020
DOI: 10.1109/iv47402.2020.9304624
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Autonomous Driving: Framework for Pedestrian Intention Estimation in a Real World Scenario

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Cited by 19 publications
(7 citation statements)
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“…In fact, an AV could be designed so that its driving behavior is indistinguishable from manual driving, where the AV passes the Turing test of automated driving (Emuna et al, 2020;Li et al, 2018;Stanton et al, 2020). • Right bottom: Finally, one may consider explicit anthropomorphic communication, such as eHMIs in the form of a smile/smiling face (Deb et al, 2018;Dou et al, 2021;Joisten et al, 2021;Löcken et al, 2019;Pratticò et al, 2021), artificial eyes (Chang et al, 2017;Löcken et al, 2019;Morales Alvarez et al, 2020;Verstegen et al, 2021), an animated face (Bai et al, 2021;Mahadevan et al, 2018), a robotic hand (Mahadevan et al, 2018;Zhang et al, in press), visual embodiments of a driver (Furuya et al, 2021), or a humanoid steering robot (Mirnig et al, 2017).…”
Section: Argument 5 For Ehmis Implicit Communication Causes Confusionmentioning
confidence: 99%
“…In fact, an AV could be designed so that its driving behavior is indistinguishable from manual driving, where the AV passes the Turing test of automated driving (Emuna et al, 2020;Li et al, 2018;Stanton et al, 2020). • Right bottom: Finally, one may consider explicit anthropomorphic communication, such as eHMIs in the form of a smile/smiling face (Deb et al, 2018;Dou et al, 2021;Joisten et al, 2021;Löcken et al, 2019;Pratticò et al, 2021), artificial eyes (Chang et al, 2017;Löcken et al, 2019;Morales Alvarez et al, 2020;Verstegen et al, 2021), an animated face (Bai et al, 2021;Mahadevan et al, 2018), a robotic hand (Mahadevan et al, 2018;Zhang et al, in press), visual embodiments of a driver (Furuya et al, 2021), or a humanoid steering robot (Mirnig et al, 2017).…”
Section: Argument 5 For Ehmis Implicit Communication Causes Confusionmentioning
confidence: 99%
“…In [ 72 ], experiments are conducted in a real controlled environment using a framework where posture detection is performed to discern the intentionality of crossing by the pedestrian when approaching a real autonomous vehicle. After detecting posture, an eHMI was used to inform whether the pedestrian was detected, with a symbolism common to current traffic lights (pedestrian crossing or not crossing).…”
Section: Effectiveness Assessmentmentioning
confidence: 99%
“…In conjunction with the V2X communication architecture, the vehicle can also be equipped with several human-machine Interfaces (HMIs). These interfaces include a large screen to communicate with pedestrians and other road users, and a pedestrian traffic light that is used to indicate if it is safe to cross the road [23].…”
Section: Communicationmentioning
confidence: 99%
“…The versatility of the roof rack allows us to quickly adapt the hardware to the experimental requirements. For example, in [23], two different HMIs are installed in order to enhance the communications between the vehicle and the pedestrians and analyze the behavior of VRUs when approaching the vehicle. The experimental setup, which is presented in Figure 13, consists of two different HMIs: first, a large screen is used to inform the pedestrian about the intention of the vehicle; alternatively, a pedestrian traffic light is also installed to indicate to the pedestrian whether it is safe to cross or not.…”
Section: Human Factorsmentioning
confidence: 99%