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 2826–2850 of 6092 papers

TitleStatusHype
Deep Constrained Q-learning—0
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker—0
High-Definition Map Generation Technologies For Autonomous Driving—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers—0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review—0
Large-scale, real-time visual-inertial localization revisited—0
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation—0
Introduction and Exemplars of Uncertainty Decomposition—0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
Hierarchical Road Topology Learning for Urban Map-less Driving—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
Invertible Autoencoder for domain adaptation—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments—0
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving—0
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions—0
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification—0
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction—0
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach—0
Hierarchical Instance Mixing across Domains in Aerial Segmentation—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