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 1391–1400 of 2605 papers

TitleStatusHype
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
Consensus controller with safety guarantee: an application to the kinematic bicycle model—0
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
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis—0
NVAutoNet: Fast and Accurate 360^ 3D Visual Perception For Self Driving—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