2025 Poster "autonomous driving" Papers
37 papers found
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Di Zhang, Jingdi Lei, Junxian Li et al.
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung et al.
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
Chensheng Peng, Chengwei Zhang, Yixiao Wang et al.
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen et al.
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
Philipp Wulff, Felix Wimbauer, Dominik Muhle et al.
Flux4D: Flow-based Unsupervised 4D Reconstruction
Jingkang Wang, Henry Che, Yun Chen et al.
Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics
Muleilan Pei, Shaoshuai Shi, Xuesong Chen et al.
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
Zhida Zhao, Talas Fu, Yifan Wang et al.
GaussRender: Learning 3D Occupancy with Gaussian Rendering
Loick Chambon, Eloi Zablocki, Alexandre Boulch et al.
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing, Xingyu Zhang, Yang Hu et al.
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion
Karlo Koledic, Luka Petrovic, Ivan Marković et al.
HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
Zhiwen Chen, Hanming Deng, Zhuoren Li et al.
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving
Hao Zhou, Zhanning Gao, Zhili Chen et al.
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training
Zhenxin Li, Shihao Wang, Shiyi Lan et al.
InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
Kuang Wu, Chuan Yang, Zhanbin Li
LaneDiffusion: Improving Centerline Graph Learning via Prior Injected BEV Feature Generation
Zijie Wang, Weiming Zhang, Wei Zhang et al.
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim et al.
Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields
Weiyi Xue, Fan Lu, Yunwei Zhu et al.
Neurosymbolic Diffusion Models
Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti et al.
ODG: Occupancy Prediction Using Dual Gaussians
Yunxiao Shi, Yinhao Zhu, Herbert Cai et al.
Online Video Understanding: OVBench and VideoChat-Online
Zhenpeng Huang, Xinhao Li, Jiaqi Li et al.
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Haoyu Fu, Diankun Zhang, Zongchuang Zhao et al.
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
Barza Nisar, Steven L. Waslander
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
Zhenjie Yang, Xiaosong Jia, Qifeng Li et al.
RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion
Geonho Bang, Minjae Seong, Jisong Kim et al.
Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
Gongzhe Li, Linwei Qiu, Peibei Cao et al.
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou et al.
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction
ZaiPeng Duan, Xuzhong Hu, Pei An et al.
STAMP: Scalable Task- And Model-agnostic Collaborative Perception
Xiangbo Gao, Runsheng Xu, Jiachen Li et al.
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
Yi Du, Zhipeng Zhao, Shaoshu Su et al.
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
Yanping Fu, Xinyuan Liu, Tianyu Li et al.
Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
Kairui Yang, Zihao Guo, Gengjie Lin et al.
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM
Yizhou Huang, Yihua Cheng, Kezhi Wang
VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving
Haiming Zhang, Wending Zhou, Shenzhen The Chinese University of Hongkong et al.
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
Yancong Lin, Shiming Wang, Liangliang Nan et al.