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 926–950 of 2605 papers

TitleStatusHype
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Decoding CNN based Object Classifier Using Visualization—0
Automated Detecting and Placing Road Objects from Street-level Images—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Explaining Autonomous Vehicles with Intention-aware Policy Graphs—0
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles—0
Explanations in Autonomous Driving: A Survey—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
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Benchmark Results

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