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Li-ViP3D++ fuses camera-LiDAR data for enhanced autonomous driving perception

Researchers have introduced Li-ViP3D++, an advanced end-to-end framework for autonomous driving that fuses camera and LiDAR data in the query space. This new model employs Query-Gated Deformable Fusion (QGDF) to adaptively integrate visual and geometric information, improving detection, tracking, and trajectory forecasting. Li-ViP3D++ achieves superior performance on the nuScenes dataset with higher EPA and mAP scores, while also reducing false positives and demonstrating faster processing times compared to its predecessor. AI

IMPACT Enhances autonomous driving capabilities by improving perception and trajectory prediction through advanced sensor fusion techniques.

RANK_REASON Research paper detailing a new method for autonomous driving perception. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Li-ViP3D++ fuses camera-LiDAR data for enhanced autonomous driving perception

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Matej Halinkovic, Nina Masarykova, Alexey Vinel, Marek Galinski ·

    Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction

    arXiv:2601.20720v2 Announce Type: replace-cross Abstract: End-to-end perception and trajectory prediction from raw sensor data is one of the key capabilities for autonomous driving. Modular pipelines restrict information flow and can amplify upstream errors. Recent query-based, f…