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 4651–4700 of 6092 papers

TitleStatusHype
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving—0
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving—0
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
Unsupervised Domain Adaptation in Semantic Segmentation: a Review—0
Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance—0
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera—0
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks—0
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs—0
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus—0
Unsupervised Visual Time-Series Representation Learning and Clustering—0
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model—0
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation—0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion—0
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation—0
Urban Driving with Conditional Imitation Learning—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
Using an ensemble color space model to tackle adversarial examples—0
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling—0
Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats—0
Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems—0
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving—0
Using DP Towards A Shortest Path Problem-Related Application—0
Using Experience Classification for Training Non-Markovian Tasks—0
Using Image Priors to Improve Scene Understanding—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving—0
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways—0
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception—0
V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling—0
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving—0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models—0
V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving—0
Value Alignment Verification—0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
Variational Constrained Reinforcement Learning with Application to Planning at Roundabout—0
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection—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