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 2201–2225 of 6092 papers

TitleStatusHype
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving—0
InfinityDrive: Breaking Time Limits in Driving World Models—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving—0
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems—0
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed PredictionCode0
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion ReasoningCode0
LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes—0
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration—0
SpaRC: Sparse Radar-Camera Fusion for 3D Object DetectionCode0
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation—0
Visual SLAMMOT Considering Multiple Motion Models—0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving—0
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation—0
T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving—0
Mapping Public Perception of Artificial Intelligence: Expectations, Risk-Benefit Tradeoffs, and Value As Determinants for Societal Acceptance—0
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning—0
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving—0
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to 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