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20232026
most citedBench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

3 citations · 6 across the 21 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.RO2024

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model

Junqi You, Xiaosong Jia, Zhiyuan Zhang +2

For end-to-end autonomous driving (E2E-AD), the evaluation system remains an open problem. Existing closed-loop evaluation protocols usually rely on simulators like CARLA being les…

cs.CV2024

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation

Shaobo Wang, Yantai Yang, Qilong Wang +3

Dataset Distillation (DD) aims to synthesize a small dataset capable of performing comparably to the original dataset. Despite the success of numerous DD methods, theoretical explo…

cs.CV2024

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving

Yutao Zhu, Xiaosong Jia, Xinyu Yang +1

The integration of data from diverse sensor modalities (e.g., camera and LiDAR) constitutes a prevalent methodology within the ambit of autonomous driving scenarios. Recent advance…

cs.RO2024★ 3 cited

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Xiaosong Jia, Zhenjie Yang, Qifeng Li +2

In an era marked by the rapid scaling of foundation models, autonomous driving technologies are approaching a transformative threshold where end-to-end autonomous driving (E2E-AD)…

cs.CV2024★ 1 cited

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

Xiaosong Jia, Shaoshuai Shi, Zijun Chen +4

As an essential task in autonomous driving (AD), motion prediction aims to predict the future states of surround objects for navigation. One natural solution is to estimate the pos…

cs.RO2024★ 2 cited

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Qifeng Li, Xiaosong Jia, Shaobo Wang +1

Real-world autonomous driving (AD) especially urban driving involves many corner cases. The lately released AD simulator CARLA v2 adds 39 common events in the driving scene, and pr…