A new arXiv paper (arXiv:2610.09174v1) introduces the Context-Aware Attention-based Gaussian Mixture Model (CAA-GMM), a multimodal, uncertainty-aware framework for vehicular trajectory prediction that…
A new arXiv paper (2609.35910v1) introduces DEEP (Decision Evaluation for Escalated Perception), a benchmark that scores pre-escalation compute allocators against a budget-constrained decision oracle,…
Researchers propose CVSD-Reg, a global LiDAR registration framework that distills visual semantic priors from a vision foundation model into LiDAR representations, achieving strict success rates of 97…
Researchers propose DinoLink, a token-centric compression framework that reduces bitrate by 139x for collaborative V2X perception while maintaining 32.8% mAP on nuScenes, achieving 34.5x acceleration …
NVIDIA introduced BEVPoolV3, an optimized bird's-eye-view pooling operator for autonomous vehicles and robotics, reducing latency on RTX GPUs by removing redundant scatter traffic and precomputing ind…
Researchers introduced LooseControlVideo, a framework that uses sparse, oriented 3D boxes as a proxy for spatial blocking in text-to-video generation, enabling intuitive control over layout and trajec…
Researchers have introduced What-If World, a benchmark of 319 prompt pairs testing whether video generation models correctly simulate physical changes in driving and robotic manipulation scenes. Acros…