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

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Showing 3401–3450 of 6092 papers

TitleStatusHype
Layout Sequence Prediction From Noisy Mobile Modality—0
Joint object detection and re-identification for 3D obstacle multi-camera systems—0
HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving ScenariosCode0
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather DataCode0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation—0
Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global WarmingCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
Towards Robust 3D Object Detection In Rainy Conditions—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending—0
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
A Survey on Deep Learning Techniques for Action Anticipation—0
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—0
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments—0
Superpixel Transformers for Efficient Semantic Segmentation—0
Gated Cross-Attention Network for Depth Completion—0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review—0
The Robust Semantic Segmentation UNCV2023 Challenge Results—0
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies—0
InfraParis: A multi-modal and multi-task autonomous driving datasetCode0
Uncertainty Quantification via Neural Posterior Principal Components—0
HPL-ViT: A Unified Perception Framework for Heterogeneous Parallel LiDARs in V2V—0
AutoEncoding Tree for City Generation and Applications—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving—0
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery—0
Overview of Computer Vision Techniques in Robotized Wire Harness Assembly: Current State and Future Opportunities—0
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills—0
Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses—0
Output-Sampled Model Predictive Path Integral Control (o-MPPI) for Increased Efficiency—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
Sequential Action-Induced Invariant Representation for Reinforcement LearningCode0
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsCode0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Learning to Drive Anywhere—0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time—0
Safe POMDP Online Planning via Shielding—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