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 2176–2200 of 2605 papers

TitleStatusHype
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
Automated Detecting and Placing Road Objects from Street-level Images—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
Automatic Calibration of Multiple 3D LiDARs in Urban Environments—0
Automatic driving lane change safety prediction model based on LSTM—0
Automatic Testing With Reusable Adversarial Agents—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
Autonomous particles—0
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
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Benchmark Results

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