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 2626–2650 of 6092 papers

TitleStatusHype
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving—0
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals—0
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving—0
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction—0
Hybrid-Prediction Integrated Planning for Autonomous Driving—0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation—0
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments—0
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving—0
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving—0
HyKo: A Spectral Dataset for Scene Understanding—0
Attacking Motion Planners Using Adversarial Perception Errors—0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering—0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track—0
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems—0
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection—0
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection—0
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Attack End-to-End Autonomous Driving through Module-Wise Noise—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