SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–775 of 2605 papers

TitleStatusHype
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Adaptive Target Tracking Using Retrospective Cost Input Estimation—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions—0
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
Show:102550
← PrevPage 31 of 105Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified