Nov 29, 2018 · The dataset contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute ...
A large-scale and growing 3D car understanding dataset for autonomous driving, i.e. ApolloCar3D, which complements existing public 3D object datasets. • A novel ...
In this paper, we contribute the first large scale database suitable for 3D car instance understanding – ApolloCar3D. The dataset contains 5,277 driving images ...
A large-scale and growing 3D car understanding dataset for autonomous driving, i.e. ApolloCar3D, which complements existing public 3D object datasets. • A novel ...
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with ...
We first crop out each car us- ing its ground truth mask, then use CPM [1] to train the 2d keypoints detector. The detection rate is 75.41 %(rate of number of ...
ApolloCar3D is a new dataset on ApolloScape. It has ~5k images and ~60k car instances. Around 10 cars per image. They filtered out images with fewer cars from ...
3D Car Instance Understanding is the task of estimating properties (e.g.translation, rotation and shape) of a moving or parked vehicle on the road.
A research-oriented project to foster innovations in all aspects of autonomous driving, from perception, navigation, to control.
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2019, 'ApolloCar3D: A large 3D car instance understanding benchmark for autonomous driving', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition ...