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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2051–2075 of 2605 papers

TitleStatusHype
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients—0
Multi-Agent Routing Value Iteration NetworkCode1
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles—0
IMU Preintegrated Features for Efficient Deep Inertial Odometry—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Falsification-Based Robust Adversarial Reinforcement Learning—0
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles—0
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach—0
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB—0
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning—0
Global Feature Aggregation for Accident Anticipation—0
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Benchmark Results

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