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 4251–4300 of 6092 papers

TitleStatusHype
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
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction—0
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications—0
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds—0
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving—0
Stability Certificates for Receding Horizon Games—0
STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation—0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
State-wise Safe Reinforcement Learning: A Survey—0
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain—0
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation—0
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation—0
STDC-MA Network for Semantic Segmentation—0
Steadily Learn to Drive with Virtual Memory—0
Stealthy Multi-Task Adversarial Attacks—0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
Step Out and Seek Around: On Warm-Start Training with Incremental Data—0
Stereo CenterNet based 3D Object Detection for Autonomous Driving—0
Stereo Frustums: A Siamese Pipeline for 3D Object Detection—0
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction—0
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection—0
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving—0
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction—0
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?—0
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction—0
Stochastic Future Prediction in Real World Driving Scenarios—0
Stochastic Market Games—0
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions—0
Stochastic MPC with Multi-modal Predictions for Traffic Intersections—0
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving—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