nuScenes
PulseAugur coverage of nuScenes — every cluster mentioning nuScenes across labs, papers, and developer communities, ranked by signal.
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New method improves HD map construction with cross-view supervision
Researchers have developed a new method called Cross-View Supervision (CVS) to improve the construction of high-definition maps using bird's-eye-view (BEV) representations from multiple cameras. Traditional methods stru…
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Driving models' performance hinges on temporal sampling frequency
Researchers have investigated the impact of temporal sampling frequency on end-to-end autonomous driving trajectory prediction models. They found that while dense frame sampling is often assumed to improve performance, …
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Autonomous driving research tackles adaptive perception and novel adversarial attacks
Researchers have developed an adaptive perception system for autonomous driving that dynamically adjusts its computational resources based on scene complexity, significantly reducing latency without sacrificing accuracy…