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 941–950 of 2605 papers

TitleStatusHype
An Indian Roads Dataset for Supported and Suspended Traffic Lights Detection—0
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks—0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer—0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC—0
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Benchmark Results

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