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 1251–1275 of 2605 papers

TitleStatusHype
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
Decentralized Vehicle Coordination and Lane Switching without Switching of Controllers—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Adaptive Pulse Compression for Sidelobes Reduction in Stretch Processing based MIMO Radars—0
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
A Learning-based approach for bias elimination in low cost gyroscopes—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Data generation using simulation technology to improve perception mechanism of autonomous vehicles—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
Data-driven Traffic Simulation: A Comprehensive Review—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
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Benchmark Results

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