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 751–800 of 2605 papers

TitleStatusHype
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—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
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—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
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—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
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles—0
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping—0
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
Adaptive Stress Testing for Autonomous Vehicles—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning—0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Automatic Testing With Reusable Adversarial Agents—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
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Benchmark Results

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