Nexar
PulseAugur coverage of Nexar — every cluster mentioning Nexar across labs, papers, and developer communities, ranked by signal.
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VAGNet uses global features for real-time accident anticipation
Researchers have developed VAGNet, a novel deep neural network designed to anticipate traffic accidents using global features from dash-cam video. Unlike previous methods that rely on computationally intensive object-le…
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New dataset CAViAR exposes critical reasoning gaps in autonomous driving AI
Researchers have introduced CAViAR, a new dataset designed to improve causal reasoning in autonomous driving systems. The dataset contains 2,249 real-world accident videos annotated with details such as fault attributio…
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Flock planned to use Uber and Lyft drivers for mass license plate surveillance
Flock, a company that provides automated license plate reader (ALPR) technology, had plans to integrate with Nexar dashcams used by hundreds of thousands of Uber, Lyft, and other delivery drivers. This would have effect…
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FLaRA architecture predicts future driving scenes for accident anticipation
Researchers have introduced FLaRA, a new predictive architecture designed to forecast future latent representations for accident anticipation in driving scenarios. This model, built upon the Video Joint-Embedding Predic…