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 2376–2400 of 2605 papers

TitleStatusHype
Improving benchmarks for autonomous vehicles testing using synthetically generated images—0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances—0
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping—0
Forward Vehicle Collision Warning Based on Quick Camera Calibration—0
Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks—0
Evaluation Uncertainty in Data-Driven Self-Driving Testing—0
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
Video Object Segmentation and Tracking: A Survey—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios—0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
Towards Safety Verification of Direct Perception Neural NetworksCode0
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety—0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
Multi-agent estimation and filtering for minimizing team mean-squared error—0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
Learning Accurate, Comfortable and Human-like Driving—0
Affordance Learning In Direct Perception for Autonomous Driving—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban ScenesCode0
Fast Deep Stereo with 2D Convolutional Processing of Cost SignaturesCode0
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning—0
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Benchmark Results

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