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20222026
most citedDelving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

10 citations · 13 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

SimScale: Learning to Drive via Real-World Simulation at Scale

Haochen Tian, Tianyu Li, Haochen Liu +11

Achieving fully autonomous driving systems requires learning rational decisions in a wide span of scenarios, including safety-critical and out-of-distribution ones. However, such c…

cs.CV2025

ReSim: Reliable World Simulation for Autonomous Driving

Jiazhi Yang, Kashyap Chitta, Shenyuan Gao +7

How can we reliably simulate future driving scenarios under a wide range of ego driving behaviors? Recent driving world models, developed exclusively on real-world driving data com…

cs.CV2025

Decoupled Diffusion Sparks Adaptive Scene Generation

Yunsong Zhou, Naisheng Ye, William Ljungbergh +6

Controllable scene generation could reduce the cost of diverse data collection substantially for autonomous driving. Prior works formulate the traffic layout generation as predicti…

cs.CV2024★ 2 cited

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Shenyuan Gao, Jiazhi Yang, Li Chen +5

World models can foresee the outcomes of different actions, which is of paramount importance for autonomous driving. Nevertheless, existing driving world models still have limitati…

cs.CV2024

GenAD: Generalized Predictive Model for Autonomous Driving

Jiazhi Yang, Shenyuan Gao, Yihang Qiu +11

In this paper, we introduce the first large-scale video prediction model in the autonomous driving discipline. To eliminate the restriction of high-cost data collection and empower…

cs.CV2022★ 1 cited

Planning-oriented Autonomous Driving

Yihan Hu, Jiazhi Yang, Li Chen +13

Modern autonomous driving system is characterized as modular tasks in sequential order, i.e., perception, prediction, and planning. In order to perform a wide diversity of tasks an…

cs.CV2022★ 10 cited

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Hongyang Li, Chonghao Sima, Jifeng Dai +19

Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches…