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

Showing 10261050 of 2605 papers

TitleStatusHype
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving0
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study0
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction0
A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China0
A New Adversarial Perspective for LiDAR-based 3D Object Detection0
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals0
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles0
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Benchmark Results

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