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 5676–5700 of 6092 papers

TitleStatusHype
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
How Much Depth Information can Radar Contribute to a Depth Estimation Model?—0
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks—0
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?—0
How to deal with glare for improved perception of Autonomous Vehicles—0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
How to Promote Autonomous Driving with Evolving Technology: Business Strategy and Pricing Decision—0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning—0
HPL-ViT: A Unified Perception Framework for Heterogeneous Parallel LiDARs in V2V—0
HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems—0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving—0
Human Action Recognition and Prediction: A Survey—0
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference—0
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning—0
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models—0
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface—0
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities—0
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks 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