Autonomous Driving Papers 🚗

This repository contains papers on autonomous driving.

📖 ICLR 2025

I might have missed some works as I only skimmed through the titles 🙏

✨ Collaborative Driving

• Learning 3D Perception from Others' Predictions

  • OpenReview | code
  • Keywords: label-efficient learning, domain adaptation, curriculum learning
  • Datasets: V2V4Real, OPV2V

• Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception

  • OpenReview
  • Keywords: communication efficiency, sparse detectors
  • Datasets: V2X-Set, OPV2V, DAIR-V2X

• STAMP: Scalable Task- And Model-agnostic Collaborative Perception

  • OpenReview
  • Keywords: heterogeneous collaborative perception
  • Datasets: OPV2V, V2V4Real

✨ End-to-End Driving

• DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

  • OpenReview
  • Keywords: task parallelism, sparse representation, streaming processing
  • Datasets: Bench2Drive, nuScenes

• Enhancing End-to-End Autonomous Driving with Latent World Model

  • OpenReview | Code
  • Keywords: world model, self-supervised future latent prediction
  • Datasets: nuScenes, NAVSIM, CARLA

• MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction [OpenReview]

• Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving [OpenReview]

General (haven't categorized yet..)

• 3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline [OpenReview]

• AdaWM: Adaptive World Model based Planning for Autonomous Driving [OpenReview]

• Adversarial Generative Flow Network for Solving Vehicle Routing Problems [OpenReview]

• Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems [OpenReview]

• Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion [OpenReview]

• CoMotion: Concurrent Multi-person 3D Motion [OpenReview]

• CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs [OpenReview]

• CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks [OpenReview]

• CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes [OpenReview]

• Diffusion-Based Planning for Autonomous Driving with Flexible Guidance [OpenReview]

• DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes [OpenReview]

• FreeVS: Generative View Synthesis on Free Driving Trajectory [OpenReview]

• Glad: A Streaming Scene Generator for Autonomous Driving [OpenReview]

• GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS [OpenReview]

• GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting [OpenReview]

• Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels [OpenReview]

• Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction [OpenReview]

• LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models [OpenReview]

• MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations [OpenReview]

• MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [OpenReview]

• MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection [OpenReview]

• OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework [OpenReview]

• OmniRe: Omni Urban Scene Reconstruction [OpenReview]

• Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function [OpenReview]

• Rethinking Light Decoder-based Solvers for Vehicle Routing Problems [OpenReview]

• RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection [OpenReview]

• Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking [OpenReview]

• Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving [OpenReview]

• SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation [OpenReview]

• TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident [OpenReview]

• Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving [OpenReview]

• Uni^2Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection [OpenReview]

• UniDrive: Towards Universal Driving Perception Across Camera Configurations [OpenReview]

• X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios [OpenReview]

(Potentially) Related

• 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds [OpenReview]

• 4K4DGen: Panoramic 4D Generation at 4K Resolution [OpenReview]

• Depth Any Video with Scalable Synthetic Data [OpenReview]

• Depth Pro: Sharp Monocular Metric Depth in Less Than a Second [OpenReview]

• EmbodiedSAM: Online Segment Any 3D Thing in Real Time [OpenReview]

• Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection [OpenReview]

• GOPS: Learning Generative Object Priors for Unsupervised 3D Instance Segmentation [OpenReview]

• Interactive Adjustment for Human Trajectory Prediction with Individual Feedback [OpenReview]

• MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion [OpenReview]

• MTSAM: Multi-Task Fine-Tuning for Segment Anything Model [OpenReview]

• Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation [OpenReview]

• OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer [OpenReview]

• PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection [OpenReview]

• Point-SAM: Promptable 3D Segmentation Model for Point Clouds [OpenReview]

• RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything[OpenReview]

• SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement [OpenReview]

• SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation [OpenReview]

• Segment Any 3D Object with Language [OpenReview]

• Stable Segment Anything Model [OpenReview]

• State Space Model Meets Transformer: A New Paradigm for 3D Object Detection [OpenReview]

• TAPE3D: Tracking All Pixels Efficiently in 3D [OpenReview]

• Track-On: Transformer-based Online Point Tracking with Memory [OpenReview]

• TSC-Net: Predict Pedestrian Trajectory by Trajectory-Scene-Cell Classification [OpenReview]

• Union-over-Intersections: Object Detection beyond Winner-Takes-All [OpenReview]