Waymo Open Dataset
PulseAugur coverage of Waymo Open Dataset — every cluster mentioning Waymo Open Dataset across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New research tackles autonomous driving safety with advanced simulators and benchmarks
Researchers are developing new methods and benchmarks to improve the safety and robustness of autonomous driving systems. One approach, MultiSim, uses an ensemble of simulators to identify failure-inducing scenarios tha…
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Polycepta framework enhances multi-object tracking with dynamic appearance estimation
Researchers have developed Polycepta, a novel framework for object-centric appearance state estimation in multi-object tracking. Unlike traditional methods that use static descriptors, Polycepta recursively estimates an…
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Federated Foundation Models Proposed for Vehicular Networks
Researchers have proposed a novel approach to integrate multi-modal, multi-task federated foundation models (M3T FedFMs) into vehicular networks. This integration aims to combine the advanced capabilities of M3T FMs wit…
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StreetNVS fuses multi-sensor data for novel-view synthesis
Researchers have developed StreetNVS, a novel video diffusion framework designed for synthesizing new views of driving scenes. This method effectively fuses data from multiple sensors, including LiDAR, cameras, and ego-…
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Vanilla ViT achieves state-of-the-art in automotive point cloud segmentation
Researchers have developed VaViT, a method that effectively uses vanilla Vision Transformer (ViT) architectures for semantic segmentation of automotive lidar point clouds. This approach addresses the dominance of U-Net …
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Mode-as-Sequence framework improves motion forecasting accuracy
Researchers have introduced Mode-as-Sequence, a novel framework for multimodal motion forecasting that addresses the challenge of sparse supervision by modeling dependencies between predicted future trajectories. This a…
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STELLAR model advances autonomous driving perception with 3D data fusion
Researchers have developed STELLAR, a new large model for 3D perception in autonomous driving, by extending a Sparse Window Transformer to integrate LiDAR, radar, camera, and map data. Trained on 50 million driving exam…
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AI research advances 3D reconstruction and scene understanding
Researchers are exploring advanced techniques for 3D reconstruction and scene understanding, focusing on optimizing computational resources and improving accuracy. Studies investigate the trade-offs between 2D, 2.5D, an…
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3D Gaussian Splatting advances with new frameworks and techniques
Researchers are advancing 3D Gaussian Splatting (3DGS) with new frameworks and techniques. X-GS integrates perception and multimodal models for tasks like visual grounding and scene captioning. Other work focuses on imp…
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3D Gaussian Splatting advances scene representation and editing
Researchers are advancing 3D Gaussian Splatting (3DGS) with new methods for improved scene representation, editing, and compression. Innovations include Skew-Normal Splatting for better modeling of asymmetric structures…