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 1161–1170 of 2605 papers

TitleStatusHype
EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction—0
Estimation of Scalar Field Distribution in the Fourier Domain—0
Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer NetworksCode1
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems—0
NVAutoNet: Fast and Accurate 360^ 3D Visual Perception For Self Driving—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
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Benchmark Results

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