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 531–540 of 2605 papers

TitleStatusHype
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks—0
Querying Labeled Time Series Data with Scenario Programs—0
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems—0
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems—0
LaneSegNet Design Study—0
Advantage Alignment Algorithms—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather ConditionsCode0
UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles—0
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Benchmark Results

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