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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3451–3475 of 6092 papers

TitleStatusHype
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow—0
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching—0
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes—0
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving—0
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving—0
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving—0
CodNN -- Robust Neural Networks From Coded Classification—0
CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving—0
CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving—0
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving—0
Coherent Track-Before-Detect—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
Collaborative Perception for Autonomous Driving: Current Status and Future Trend—0
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
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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