PulseAugur
EN
LIVE 14:58:32

New autonomous driving dataset and multimodal action model released

By PulseAugur Editorial · [4 sources] ·

Researchers have introduced KITScenes Multimodal, a new European dataset for autonomous driving that features high-fidelity sensors and comprehensive HD maps. This dataset aims to address limitations in existing datasets regarding sensor fidelity, map completeness, and geographic diversity. Additionally, a new model called the Action Diffusion Transformer (ADT) has been developed for end-to-end autonomous driving, which utilizes multimodal action prediction to improve performance and stability. AI

IMPACT New multimodal dataset and action modeling approach could accelerate research in robust end-to-end autonomous driving systems.

RANK_REASON The cluster contains two research papers detailing new datasets and models for autonomous driving.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

New autonomous driving dataset and multimodal action model released

COVERAGE [4]

  1. arXiv cs.LG TIER_1 English(EN) · Richard Schwarzkopf, Fabian Immel, Alexander Blumberg, Jonas Merkert, Nils Rack, Kaiwen Wang, Fabian Konstantinidis, Julian Truetsch, Carlos Fernandez, Annika B\"atz, Kevin R\"osch, Marlon Steiner, Willi Poh, Yinzhe Shen, Royden Wagner, Felix Hauser, Dom… ·

    The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset

    arXiv:2606.02956v1 Announce Type: cross Abstract: Existing autonomous driving datasets have enabled major progress, but fall short in sensor fidelity, map completeness, or geographic diversity. We present KITScenes Multimodal, a European dataset built around high-fidelity sensors…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset

    KITScenes Multimodal dataset provides high-fidelity European driving data with comprehensive 3D maps and diverse urban environments for embodied AI research.

  3. arXiv cs.CV TIER_1 English(EN) · Jorge Daniel Rodr\'iguez-Vidal, Diego Porres, Gabriel Villalonga Pineda, Antonio M. L\'opez Pe\~na ·

    Multimodal Action Diffusion for Robust End-to-End Autonomous Driving

    arXiv:2606.02105v1 Announce Type: new Abstract: End-to-End Autonomous Driving (E2E-AD) systems have largely converged on predicting intermediate trajectory waypoints, delegating final control to hand-crafted controllers with GPS access. Direct control-signal prediction (outputtin…

  4. arXiv cs.CV TIER_1 English(EN) · Antonio M. López Peña ·

    Multimodal Action Diffusion for Robust End-to-End Autonomous Driving

    End-to-End Autonomous Driving (E2E-AD) systems have largely converged on predicting intermediate trajectory waypoints, delegating final control to hand-crafted controllers with GPS access. Direct control-signal prediction (outputting throttle, steer and brake in an end-to-end fas…

RELATED ENTITIES

RELATED TOPICS