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 2201–2250 of 6092 papers

TitleStatusHype
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—0
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention—0
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence—0
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection—0
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild—0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds—0
A lightweight YOLOv5-FFM model for occlusion pedestrian detection—0
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
Detection Is Tracking: Point Cloud Multi-Sweep Deep Learning Models Revisited—0
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving—0
Detecting the Anomalies in LiDAR Pointcloud—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Detecting OODs as datapoints with High Uncertainty—0
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs—0
Detecting Driveable Area for Autonomous Vehicles—0
Detecting Backdoor Attacks Against Point Cloud Classifiers—0
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
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
AVD2: Accident Video Diffusion for Accident Video Description—0
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving—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
Cross-Modal Distillation for RGB-Depth Person Re-Identification—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
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—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
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—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
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking—0
AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction—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