End-to-end autonomous driving: Challenges and frontiers

L Chen, P Wu, K Chitta, B Jaeger… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …

Gpt-driver: Learning to drive with gpt

J Mao, Y Qian, J Ye, H Zhao, Y Wang - arXiv preprint arXiv:2310.01415, 2023 - arxiv.org
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …

Maptrv2: An end-to-end framework for online vectorized hd map construction

B Liao, S Chen, Y Zhang, B Jiang, Q Zhang… - International Journal of …, 2024 - Springer
High-definition (HD) map provides abundant and precise static environmental information of
the driving scene, serving as a fundamental and indispensable component for planning in …

Drivedreamer: Towards real-world-driven world models for autonomous driving

X Wang, Z Zhu, G Huang, X Chen, J Zhu… - arXiv preprint arXiv …, 2023 - arxiv.org
World models, especially in autonomous driving, are trending and drawing extensive
attention due to their capacity for comprehending driving environments. The established …

Drivevlm: The convergence of autonomous driving and large vision-language models

X Tian, J Gu, B Li, Y Liu, Y Wang, Z Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
A primary hurdle of autonomous driving in urban environments is understanding complex
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …

Occworld: Learning a 3d occupancy world model for autonomous driving

W Zheng, W Chen, Y Huang, B Zhang, Y Duan… - European Conference on …, 2025 - Springer
Understanding how the 3D scene evolves is vital for making decisions in autonomous
driving. Most existing methods achieve this by predicting the movements of object boxes …

Genad: Generative end-to-end autonomous driving

W Zheng, R Song, X Guo, C Zhang, L Chen - European Conference on …, 2025 - Springer
Directly producing planning results from raw sensors has been a long-desired solution for
autonomous driving and has attracted increasing attention recently. Most existing end-to …

Is ego status all you need for open-loop end-to-end autonomous driving?

Z Li, Z Yu, S Lan, J Li, J Kautz, T Lu… - Proceedings of the …, 2024 - openaccess.thecvf.com
End-to-end autonomous driving recently emerged as a promising research direction to
target autonomy from a full-stack perspective. Along this line many of the latest works follow …

Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction

Y Huang, W Zheng, Y Zhang, J Zhou, J Lu - European Conference on …, 2025 - Springer
Abstract 3D semantic occupancy prediction aims to obtain 3D fine-grained geometry and
semantics of the surrounding scene and is an important task for the robustness of vision …

Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Y Wang, J He, L Fan, H Li, Y Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
In autonomous driving predicting future events in advance and evaluating the foreseeable
risks empowers autonomous vehicles to plan their actions enhancing safety and efficiency …