Browse > Computer Vision > Autonomous Vehicles

Autonomous Vehicles

59 papers with code ยท Computer Vision

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.

State-of-the-art leaderboards

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Latest papers without code

Learning to Move with Affordance Maps

ICLR 2020

In this paper, we combine the best of both worlds with a modular approach that {\em learns} a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.

AUTONOMOUS VEHICLES

Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories

14 Oct 2019

In this paper, we propose an efficient traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is suitable for dynamic configuration of lane-directions.

AUTONOMOUS VEHICLES

FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving

11 Oct 2019

In this work, we propose a robust and real-time CNN architecture for Moving Object Detection (MOD) under low-light conditions by capturing motion information from both camera and LiDAR sensors.

AUTONOMOUS DRIVING OBJECT DETECTION OPTICAL FLOW ESTIMATION

Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model

10 Oct 2019

The predicted decisions are incorporated in the safety constraints for reinforcement learning in training and in implementation.

AUTONOMOUS DRIVING DECISION MAKING

Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds

8 Oct 2019

Results show that we are able to accurately re-locate over a filtered map, consistently reducing trajectory errors between an average of 35. 1% with respect to a non-filtered map version and of 47. 9% with respect to a standalone map created on the current session.

AUTONOMOUS VEHICLES

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression

8 Oct 2019

The experimental results demonstrate that our proposed method can generate a bunch of human-like multi-vehicle interaction trajectories that can fit different road conditions remaining the key interaction patterns of agents in the provided scenarios, which is import to the development of autonomous vehicles.

AUTONOMOUS VEHICLES DECISION MAKING MOTION PLANNING

Risk-Aware Reasoning for Autonomous Vehicles

6 Oct 2019

Third, a planning subsystem that takes into account the uncertainty, from perception and intention recognition subsystems, and propagates all the way to control policies that explicitly bound the risk of collision.

AUTONOMOUS VEHICLES INTENT DETECTION

Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods

3 Oct 2019

This article mainly aims at motivating more investigations on self-supervised learning (SSL) perception techniques and their applications in autonomous driving.

AUTONOMOUS DRIVING

Using Image Priors to Improve Scene Understanding

2 Oct 2019

We propose a simple yet effective method for leveraging these image priors to improve semantic segmentation of images from sequential driving datasets.

AUTONOMOUS DRIVING SCENE UNDERSTANDING SEMANTIC SEGMENTATION

GLADAS: Gesture Learning for Advanced Driver Assistance Systems

2 Oct 2019

To the best of our knowledge, GLADAS is the first system of its kind designed to provide an infrastructure for further research into human-AV interaction.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION SELF-DRIVING CARS