Grid-centric traffic scenario perception for autonomous driving: A comprehensive review
Grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, grid-centric perception is less prevalent than object-centric perception as …
Nonetheless, grid-centric perception is less prevalent than object-centric perception as …
Driveworld: 4d pre-trained scene understanding via world models for autonomous driving
Vision-centric autonomous driving has recently raised wide attention due to its lower cost.
Pre-training is essential for extracting a universal representation. However current vision …
Pre-training is essential for extracting a universal representation. However current vision …
A survey on occupancy perception for autonomous driving: The information fusion perspective
Abstract 3D occupancy perception technology aims to observe and understand dense 3D
environments for autonomous vehicles. Owing to its comprehensive perception capability …
environments for autonomous vehicles. Owing to its comprehensive perception capability …
Muvo: A multimodal generative world model for autonomous driving with geometric representations
D Bogdoll, Y Yang, J Marius Zöllner - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Learning unsupervised world models for autonomous driving has the potential to improve
the reasoning capabilities of today's systems dramatically. However, most work neglects the …
the reasoning capabilities of today's systems dramatically. However, most work neglects the …
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions
Y Wang, S Wang, Y Li, M Liu - arXiv preprint arXiv:2408.16530, 2024 - arxiv.org
In recent years, 3D object perception has become a crucial component in the development
of autonomous driving systems, providing essential environmental awareness. However, as …
of autonomous driving systems, providing essential environmental awareness. However, as …
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction
A comprehensive understanding of 3D scenes is crucial in autonomous vehicles (AVs), and
recent models for 3D semantic occupancy prediction have successfully addressed the …
recent models for 3D semantic occupancy prediction have successfully addressed the …
Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction
Vision-based 3D semantic scene completion (SSC) describes autonomous driving scenes
through 3D volume representations. However, the occlusion of invisible voxels by scene …
through 3D volume representations. However, the occlusion of invisible voxels by scene …
Occfusion: A straightforward and effective multi-sensor fusion framework for 3d occupancy prediction
This paper introduces OccFusion, a straightforward and efficient sensor fusion framework for
predicting 3D occupancy. A comprehensive understanding of 3D scenes is crucial in …
predicting 3D occupancy. A comprehensive understanding of 3D scenes is crucial in …
SuPrNet: Super Proxy for 4D occupancy forecasting
Spacetime (4D) occupancy forecasting explicitly models the future development of self-
driving vehicles (SDVs) themselves and their surrounding environment, which is highly …
driving vehicles (SDVs) themselves and their surrounding environment, which is highly …
AFOcc: Multi-Modal Semantic Occupancy Prediction with Accurate Fusion
The 3-D scene perception technology enhances the safety and decision-making ability of
autonomous vehicles by accurately acquiring and analyzing stereo information from the …
autonomous vehicles by accurately acquiring and analyzing stereo information from the …