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 3176–3200 of 6092 papers

TitleStatusHype
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object DetectionCode1
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies—0
Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow PredictionCode1
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation—0
Blind Multimodal Quality Assessment of Low-light Images—0
3D Data Augmentation for Driving Scenes on Camera—0
Social Occlusion Inference with Vectorized Representation for Autonomous Driving—0
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates—0
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving—0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning—0
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous DrivingCode3
Symbolic Perception Risk in Autonomous Driving—0
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityCode0
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Fast and Accurate Object Detection on Asymmetrical Receptive Field—0
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud SequencesCode1
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs—0
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
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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