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 4901–4925 of 6092 papers

TitleStatusHype
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
StyleLess layer: Improving robustness for real-world driving—0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory PredictionCode0
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
X-view: Non-egocentric Multi-View 3D Object Detector—0
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving—0
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs—0
Real-time End-to-End Federated Learning: An Automotive Case Study—0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios—0
Scalable Detection and Tracking of Geometric Extended Objects—0
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
Stereo CenterNet based 3D Object Detection for Autonomous Driving—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
From driving automation systems to autonomous vehicles: clarifying the terminology—0
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection—0
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services—0
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—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