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 5851–5875 of 6092 papers

TitleStatusHype
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
Introduction and Exemplars of Uncertainty Decomposition—0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Invertible Autoencoder for domain adaptation—0
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments—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
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications—0
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain—0
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
ISETAuto: Detecting vehicles with depth and radiance information—0
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving—0
Is Neuron Coverage Needed to Make Person Detection More Robust?—0
Is Your HD Map Constructor Reliable under Sensor Corruptions?—0
Iterative Deep Compression : Compressing Deep Networks for Classification and Semantic Segmentation—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration—0
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for 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