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 1051–1100 of 2605 papers

TitleStatusHype
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
An Empirical Analysis of Range for 3D Object Detection—0
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning—0
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing—0
Distributed Traffic Control in Complex Dynamic Roadblocks: A Multi-Agent Deep RL Approach—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Distributed Learning and Inference with Compressed Images—0
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Benchmark Results

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