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 4001–4025 of 6092 papers

TitleStatusHype
GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention—0
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow—0
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios—0
Ego-centric Learning of Communicative World Models for Autonomous Driving—0
Scaling Laws of Motion Forecasting and Planning -- A Technical Report—0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—0
2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection—0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—0
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation—0
3D Data Augmentation for Driving Scenes on Camera—0
3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation—0
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving—0
3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene—0
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting—0
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack—0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—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