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 4601–4650 of 6092 papers

TitleStatusHype
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised—0
UFO: Unidentified Foreground Object Detection in 3D Point Cloud—0
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization—0
Uncertainty and Self-Supervision in Single-View Depth—0
Uncertainty-Aware Data Aggregation for Deep Imitation Learning—0
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments—0
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation—0
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving—0
Uncertainty Aware Proposal Segmentation for Unknown Object Detection—0
Uncertainty-aware Vision-based Metric Cross-view Geolocalization—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
Uncertainty Estimation based on Geometric Separation—0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—0
Uncertainty Guided Depth Fusion for Spike Camera—0
Uncertainty-Guided Never-Ending Learning to Drive—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Uncertainty Quantification via Neural Posterior Principal Components—0
Emergent Visual Sensors for Autonomous Vehicles—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time—0
Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices—0
Understanding Domain Randomization for Sim-to-real Transfer—0
Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection—0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data—0
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study—0
Understanding the Domain Gap in LiDAR Object Detection Networks—0
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps—0
Understanding Time Variations of DNN Inference in Autonomous Driving—0
Understanding World or Predicting Future? A Comprehensive Survey of World Models—0
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations—0
UniCal: a Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration and Validation—0
Unified End-to-End V2X Cooperative Autonomous Driving—0
Unified Vision-Language-Action Model—0
Unifying Evaluation of Machine Learning Safety Monitors—0
Unifying Panoptic Segmentation for Autonomous Driving—0
UniG3D: A Unified 3D Object Generation Dataset—0
UniGaussian: Driving Scene Reconstruction from Multiple Camera Models via Unified Gaussian Representations—0
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios—0
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather—0
UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction—0
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation—0
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation—0
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction—0
Unlock the Power of Unlabeled Data in Language Driving Model—0
UnPWC-SVDLO: Multi-SVD on PointPWC for Unsupervised Lidar Odometry—0
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal—0
Unstructured Road Vanishing Point Detection Using the Convolutional Neural Network and Heatmap Regression—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