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
Visual Perception System for Autonomous Driving—0
A Lightweight Machine Learning Pipeline for LiDAR-simulation—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
A Light-Weight Communication-Efficient Data Sharing Approach in 5G NR V2X—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—0
AVD2: Accident Video Diffusion for Accident Video Description—0
Designs and Implementations in Neural Network-based Video Coding—0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints—0
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving—0
Design of Automatic Driving Safety Level and Positioning Accuracy—0
Designing DNNs for a trade-off between robustness and processing performance in embedded devices—0
Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera—0
Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms—0
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation—0
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems—0
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
Depth Sensing Beyond LiDAR Range—0
Depth Refinement for Improved Stereo Reconstruction—0
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image—0
DepthMamba with Adaptive Fusion—0
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views—0
Depth Estimation with Simplified Transformer—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