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 2301–2325 of 6092 papers

TitleStatusHype
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving—0
Predictive Planner for Autonomous Driving with Consistency Models—0
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles—0
A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles—0
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles—0
End-to-End Policy Gradient Method for POMDPs and Explainable Agents—0
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023—0
End-to-End on-device Federated Learning: A case study—0
Multi-task UNet architecture for end-to-end autonomous driving—0
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?—0
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators—0
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving—0
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving—0
A Novel Algorithm for Exact Concave Hull Extraction—0
Adaptive Trajectory Prediction via Transferable GNN—0
A2D2: Audi Autonomous Driving Dataset—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data—0
End-to-end driving simulation via angle branched network—0
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms—0
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning—0
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion—0
End-to-End Deep Reinforcement Learning for Lane Keeping Assist—0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—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