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 4451–4475 of 6092 papers

TitleStatusHype
Time-Dependent Performance Modeling for Platooning Communications at Intersection—0
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation—0
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems—0
Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks—0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving—0
TIP: Task-Informed Motion Prediction for Intelligent Vehicles—0
TLD: A Vehicle Tail Light signal Dataset and Benchmark—0
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving—0
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving—0
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation—0
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving—0
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving—0
To Make Yourself Invisible with Adversarial Semantic Contours—0
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning—0
TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module—0
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
Toward Information Theoretic Active Inverse Reinforcement Learning—0
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network—0
Toward RAW Object Detection: A New Benchmark and a New Model—0
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—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