We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for vehicle interior monitoring using a single wide-angle depth camera. Our dataset addresses the deficiencies of currently available in-car cabin datasets in terms of the ambit of labeled classes, recorded scenarios and provided annotations; all at the same time. We record an exhaustive list of actions performed while driving and provide for them multi-modal labeled images (depth, RGB and IR), with complete annotations for 2D and 3D object detection, instance and semantic segmentation as well as activity annotations for RGB frames. Additional to real recordings, we provide a synthetic dataset of in-car cabin images with same multi-modality of images and annotations, providing a unique and extremely beneficial combination of synthetic and real data for effectively training cabin monitoring systems and evaluating domain adaptation approaches. The dataset is available at https://vizta-tof.kl.dfki.de/.

翻译：我们用一台宽角深度照相机为车辆内部监测提供TICaM(飞行时客舱监测)数据集,用于车辆内部监测,我们的数据集处理在标签类别、记录情景和提供说明的范围方面现有车内机舱数据集的缺陷;同时,我们记录了驾驶期间所采取行动的详尽清单,并提供了多式标签图像(深度、RGB和IR),完整说明2D和3D物体探测、实例和语义分解以及RGB框架的活动说明。除了真实记录外,我们还提供了一套合成的车内机舱图像数据集,其图像和说明具有同样的多式图像和说明,为有效培训机舱监测系统和评价领域适应方法提供了独特和极为有益的合成数据组合。数据集见https://vizta-tof.kl.dfki.de/。