This repository contains papers on autonomous driving.
I might have missed some works as I only skimmed through the titles 🙏
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Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
- OpenReview
- Keywords: sensor fusion, uncertainty quantification
- Datasets: nuScenes
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MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
- OpenReview
- Keywords: BEV, state space model, causal attention
- Datasets: nuScenes
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MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
- OpenReview
- Keywords: online HD Map construction, lane detection, multi-granularity representation
- Datasets: nuScenes, Argoverse2
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MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
- OpenReview
- Keywords: test-time adaptation
- Datasets: KITTI, Waymo, nuScenes, KITTI-C
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Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
- OpenReview
- Keywords: uncertainty quantification, BEV segmentation
- Datasets: CALRA, nuScenes, Lyft, nuScenes-C
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RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
- OpenReview
- Keywords: radar-camera 3D object detection, robust detection
- Datasets:
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TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident
- OpenReview
- Keywords: traffic accident detection, MLLM
- Datasets: TAU-106K (proposed)
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Uni^2Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
- OpenReview
- Keywords: multi-dataset training
- Datasets: KITTI, Waymo, nuScenes
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UniDrive: Towards Universal Driving Perception Across Camera Configurations
- OpenReview / Code
- Keywords: cross domain perception, sensor configuration
- Datasets: CARLA
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Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
- OpenReview
- Keywords: ego-trajectory prediction, gaze, driver FOV
- GEM (proposed; ego-motion dataset with driver positions and perspective)
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Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
- OpenReview
- Keywords: vehicle trajectory generator, language interface
- Datasets: L2T (proposed), WOMD
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OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
- OpenReview
- Keywords: camera-only occupancy forecasting
- Datasets: nuScenes, nuScenes-Occupancy, Lyft-Level5
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Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
- OpenReview
- Keywords: occupancy prediction, occupancy forecasting, semi-supervised
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AdaWM: Adaptive World Model based Planning for Autonomous Driving
- OpenReview
- Keywords: reinforcement learning, world model, adaptive finetuning
- Datasets: Bench2Drive, CARLA
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Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
- OpenReview / Code
- Keywords: diffusion model, flexible guidance
- Datasets: nuPlan, Delivery-vehicle Dataset (proposed)
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DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes
- OpenReview / Code
- Keywords: 4D occupancy generation, HexPlane, DiT, conditional generation
- Datasets: Occ3D-Waymo, Occ3D-nuScenes, CarlaSC
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FreeVS: Generative View Synthesis on Free Driving Trajectory
- OpenReview / Code
- Keywords: novel view synthesis, generative model, novel trajectory
- Datasets: WOD
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Glad: A Streaming Scene Generator for Autonomous Driving
- OpenReview
- Keywords: streaming video generation, diffusion models
- Datasets: nuScenes
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GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
- OpenReview / Code
- Keywords: simulation, benchmark, multi-agent reinforcement learning, planning
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GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
- OpenReview / Code
- Keywords: novel view synthesis, LiDAR simulation, gaussian splatting
- Datasets: KITTI-360, nuScenes
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OmniRe: Omni Urban Scene Reconstruction
- OpenReview / Project page
- Keywords: dynamic scene modeling, human modeling, gaussian splatting
- Datasets: WOD, nuScenes, Argoverse2, PandaSet, KITTI, nuPlan
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X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
- OpenReview / Code
- Keywords: multimodal generation, diffusion models
- Datasets: nuScenes
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DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
- OpenReview
- Keywords: task parallelism, sparse representation, streaming processing
- Datasets: Bench2Drive, nuScenes
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Enhancing End-to-End Autonomous Driving with Latent World Model
- OpenReview / Code
- Keywords: world model, self-supervised future latent prediction
- Datasets: nuScenes, NAVSIM, CARLA
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Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
- OpenReview / Code
- Keywords: (navigation-guided) sparse scene representation, self-supervised future feature prediction
- Datasets: nuScenes, CARLA
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Learning 3D Perception from Others' Predictions
- OpenReview / code
- Keywords: label-efficient learning, domain adaptation, curriculum learning
- Datasets: V2V4Real, OPV2V
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Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
- OpenReview
- Keywords: communication efficiency, sparse detectors
- Datasets: V2X-Set, OPV2V, DAIR-V2X
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STAMP: Scalable Task- And Model-agnostic Collaborative Perception
- OpenReview
- Keywords: heterogeneous collaborative perception
- Datasets: OPV2V, V2V4Real
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3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline [OpenReview]
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Adversarial Generative Flow Network for Solving Vehicle Routing Problems [OpenReview]
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Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems [OpenReview]
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Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion [OpenReview]
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CoMotion: Concurrent Multi-person 3D Motion [OpenReview]
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CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs [OpenReview]
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Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels [OpenReview]
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LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models [OpenReview]
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MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction [OpenReview]
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Rethinking Light Decoder-based Solvers for Vehicle Routing Problems [OpenReview]
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Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking [OpenReview]
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SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation [OpenReview]
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3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds [OpenReview]
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4K4DGen: Panoramic 4D Generation at 4K Resolution [OpenReview]
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CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes [OpenReview]
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Depth Any Video with Scalable Synthetic Data [OpenReview]
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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second [OpenReview]
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EmbodiedSAM: Online Segment Any 3D Thing in Real Time [OpenReview]
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Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection [OpenReview]
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GOPS: Learning Generative Object Priors for Unsupervised 3D Instance Segmentation [OpenReview]
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Interactive Adjustment for Human Trajectory Prediction with Individual Feedback [OpenReview]
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MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [OpenReview]
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MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion [OpenReview]
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MTSAM: Multi-Task Fine-Tuning for Segment Anything Model [OpenReview]
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Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation [OpenReview]
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OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer [OpenReview]
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PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection [OpenReview]
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Point-SAM: Promptable 3D Segmentation Model for Point Clouds [OpenReview]
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RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything[OpenReview]
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SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement [OpenReview]
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SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation [OpenReview]
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Segment Any 3D Object with Language [OpenReview]
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Stable Segment Anything Model [OpenReview]
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State Space Model Meets Transformer: A New Paradigm for 3D Object Detection [OpenReview]
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TAPE3D: Tracking All Pixels Efficiently in 3D [OpenReview]
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Track-On: Transformer-based Online Point Tracking with Memory [OpenReview]
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TSC-Net: Predict Pedestrian Trajectory by Trajectory-Scene-Cell Classification [OpenReview]
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Union-over-Intersections: Object Detection beyond Winner-Takes-All [OpenReview]