SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 1251–1300 of 6092 papers

TitleStatusHype
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous DrivingCode1
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLADCode1
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene ConstraintsCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR MapsCode1
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
Large-scale moral machine experiment on large language modelsCode1
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching ProcessCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion PredictionCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingCode1
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated LearningCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion GenerationCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous DrivingCode1
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language ModelsCode1
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric PriorsCode1
Driving Style Alignment for LLM-powered Driver AgentCode1
Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D GaussianCode1
Leveraging Temporal Information for 3D Detection and Domain AdaptationCode1
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
LiDAR-based 4D Occupancy Completion and ForecastingCode1
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
LiDAR R-CNN: An Efficient and Universal 3D Object DetectorCode1
Domain Adaptation Through Task DistillationCode1
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified