13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications 2021
DOI: 10.1145/3473682.3480266
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XR-OOM: Mixing Virtual Driving Simulation with Real Cars and Environments Safely

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Cited by 5 publications
(4 citation statements)
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“…The user can move freely within the limits of the play area with wireless VR headsets without having to worry about hanging cables. Varjo XR-3, which was released in 2021, enables a high-resolution wide field of view augmented, virtual, and mixed-reality experiences (Goedicke et al, 2021). Experiencing extended reality is most affordable with mobile phones and tablets.…”
Section: Hardwarementioning
confidence: 99%
“…The user can move freely within the limits of the play area with wireless VR headsets without having to worry about hanging cables. Varjo XR-3, which was released in 2021, enables a high-resolution wide field of view augmented, virtual, and mixed-reality experiences (Goedicke et al, 2021). Experiencing extended reality is most affordable with mobile phones and tablets.…”
Section: Hardwarementioning
confidence: 99%
“…In particular, Holoride [12] and CarVR [11] use a vehicle's navigation and environment data to match VR experiences to the physical movements of the car. Other research has looked at in-car VR for driving simulations [8,9], productivity [16] and mindfulness [23], as well as explored wider issues such as social acceptability [40], and the challenges faced in facilitating correct operation of in-car XR [18]. However, VR applications do not tend to appropriate or augment reality, instead using the immersiveness of VR to construct alternative virtual worlds.…”
Section: Background 21 In-car Xrmentioning
confidence: 99%
“…VR-OOM [15] and XR-OOM [13,14] are open-source software platforms to help researchers design in-vehicle VR and AR interfaces for drivers, respectively. Both are PC-based systems that use an IMU to detect vehicle rotation and OBD-II for velocity, while XR-OOM also uses LIDAR and a ZED2 camera to track the vehicles position within a known external environment.…”
Section: Research Toolkits and Platformsmentioning
confidence: 99%
“…However, we note once more that no consumer XR device currently provides this level of access to the outputs of their tracking implementations -typically only providing either IMU-based 3DoF, or positional tracking-based 6DoF pose, which is prone to errors/jitter as previously discussed. Where there is access to the cameras driving the tracking (often prevented for reasons of privacy) or where additional headset-mountable cameras (such as the ZED mini 14 ) can be utilized, this solution could be implemented by practitioners. However, we do not recommend pursuing this approach currently, given the performance challenges -requiring a low latency high accuracy high sample rate VO approach that does not additionally impact the performance of the standalone headset.…”
Section: Dof Headset With Separate Visual and Inertial Posementioning
confidence: 99%