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 1501–1550 of 2605 papers

TitleStatusHype
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
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Autonomous Vehicles for Ride-Hailing—0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data—0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice—0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing—0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations—0
Autonomy 2.0: The Quest for Economies of Scale—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning—0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles—0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
Bi-directional Loop Closure for Visual SLAM—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Blending Data-Driven Priors in Dynamic Games—0
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Benchmark Results

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