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 1851–1900 of 2605 papers

TitleStatusHype
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach—0
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach—0
Variational Monocular Depth Estimation for Reliability Prediction—0
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose—0
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection—0
Vehicle Communication using Hash Chain-based Secure Cluster—0
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways—0
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos—0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
Vehicles Lane-changing Behavior Detection—0
Vehicle State Estimation and Prediction—0
Vehicular Behavior-Aware Beamforming Design for Integrated Sensing and Communication Systems—0
Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack—0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
Verification and Validation of Autonomous Systems—0
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
Video Object Segmentation and Tracking: A Survey—0
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection—0
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards—0
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Vision-Language-Action Models: Concepts, Progress, Applications and Challenges—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving—0
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—0
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions—0
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles—0
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze—0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network—0
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
VTD: Visual and Tactile Database for Driver State and Behavior Perception—0
VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information—0
Vulnerable road user detection: state-of-the-art and open challenges—0
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera—0
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards—0
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems—0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
Weather Influence and Classification with Automotive Lidar Sensors—0
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning—0
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models—0
Wetness and Color From a Single Multispectral Image—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)?—0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
WHITE PAPER: Protecting GNSS Against Intentional Interference—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
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Benchmark Results

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