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 1811–1820 of 2605 papers

TitleStatusHype
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles—0
Is attention to bounding boxes all you need for pedestrian action prediction?Code0
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial PerturbationsCode0
ARC: Adversarially Robust Control Policies for Autonomous VehiclesCode0
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
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Benchmark Results

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