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 5726–5750 of 6092 papers

TitleStatusHype
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss—0
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning—0
Identifying Unknown Instances for Autonomous Driving—0
If our aim is to build morality into an artificial agent, how might we begin to go about doing so?—0
"If you could see me through my eyes": Predicting Pedestrian Perception—0
Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving—0
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image Stylization for Robust Features—0
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs—0
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects—0
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios—0
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach—0
Imitation Learning: Progress, Taxonomies and Challenges—0
Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge—0
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Importance is in your attention: agent importance prediction for autonomous driving—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving—0
Credal Bayesian Deep Learning—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