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

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Showing 901–950 of 2605 papers

TitleStatusHype
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
DeepFault: Fault Localization for Deep Neural Networks—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Estimation of Scalar Field Distribution in the Fourier Domain—0
Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach—0
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems—0
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving—0
Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing—0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey—0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Exact Set-valued Estimation using Constrained Convex Generators for uncertain Linear Systems—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios—0
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