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 3076–3100 of 6092 papers

TitleStatusHype
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles—0
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms—0
A Novel Algorithm for Exact Concave Hull Extraction—0
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators—0
A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles—0
A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
A novel pLSA based Traffic Signs Classification System—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation—0
An Overview about Emerging Technologies of Autonomous Driving—0
Anti-Delay Kalman Filter Fusion Algorithm for Vehicle-borne Sensor Network with Finite-Time Convergence—0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks—0
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving—0
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Application of Tensorized Neural Networks for Cloud Classification—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—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