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 1011–1020 of 2605 papers

TitleStatusHype
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localizationCode1
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative PerceptionCode1
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
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Benchmark Results

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