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 3376–3400 of 6092 papers

TitleStatusHype
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection—0
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation—0
Special Session: Approximation and Fault Resiliency of DNN Accelerators—0
Specification-Driven Video Search via Foundation Models and Formal Verification—0
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning—0
Spectral-Aware Global Fusion for RGB-Thermal Semantic Segmentation—0
Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks—0
Speed-up Heuristic for an On-Demand Ride-Pooling Algorithm—0
SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles—0
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation—0
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion—0
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor—0
Spherical formulation of moving object geometric constraints for monocular fisheye cameras—0
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding—0
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving—0
SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction—0
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations—0
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving—0
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds—0
SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset—0
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection—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