haveit highly automated vehicles for intelligent transport · 2011-07-31 · highly automated...

HAVEit

Highly Automated Vehicles

for Intelligent Transport

Holger ZengProject Manager

CONTINENTAL AUTOMOTIVE

2Vejforum 2010, 09 December 2010, Nyborg, Denmark – HAVEit

HAVEit – General Information

Project full title: Highly Automated Vehicles for Intelligent Transport

Project coordinator: Dr. Reiner Hoeger, Continental Automotive GmbH

Integrated project: ICT 2007.6.1, project no. 212154

Start: 01 February 2008

End: 31 July 2011

Budget / funding: 28 M€ / 17 M€

Consortium

18 Partners plus

5 Third Parties:


HAVEit – Motivation and Background

Motivation: Improvement of safety and environmental friendliness

Approach

highly automated vehicle applications supporting the driver in

overload and underload situations

Background

Driver strengths: take responsibility, draw conclusions,

monitor systems

Driver weakness: tendency to get distracted and inattentive in

long-lasting monotonous driving situations

Automation strength: attentiveness independent of trip duration


HAVEit – Proposed Solution

Less accidents

Less traffic jams by steady flow, no disturbance injection

Improved energy efficiency

Automation and cooperative technologies go hand in hand

Automation spectrum

Automated Driving is a „multiple use“ technology


HAVEit – Technical Objectives

Technical objectives – Research Needs

Provide technologies for situation awareness

(driving scene, vehicle state, driver state)

Develop effective and efficient algorithms to define maneuvers and trajectories

Decide on the optimum automation level (task repartition driver – automation)

Develop suitable HMI concept

Elaborate safe vehicle architecture

Show new capabilities and functions in seven

demonstrator vehicles

(passenger cars, trucks and bus)

Integration and opti-

misation progressing

according to plan.


HAVEit – Main Outcomes

Common HAVEit Architecture

Driver

monitoring

Driver

interface

components

Command layer

Execution layer

DriverEnvironment sensors Vehicle sensors

Sensor data fusion

Driver state

assessment

HMI

Mode selection unit

Co-Pilot

Drivetrain control

Steering Brakes Gearbox

motion control vector

Command generation and validation

join

t sys

tem

Engine

Perception layer

automation level

maneuver

trajectory

for real-time scene

recognition

to define maneu-

ver, trajectory and

automation level

and to generate

the safe motion

control vector

to perform the

safe motion

control vector

to assess the

driver state and

to integrate the

driver in the auto-

mation loop



Joint System: Driver – Co-System

Co-pilot

º Performs motion planning

accounting a current situation

º Generates optimal trajectories

that fit with the objectives:

- Collision free trajectories

- Lane departure supervision

º Optimal trajectories in terms of

e.g. trajectory lengths, fuel

consumption, safety margins

º Two level computation

- Strategy level for maneuvers

selection (coarse level)

- Planning level: trajectory

planning and risk assess-

ment (fine level)

Maneuver grid



Joint System: Driver – Co-System

Mode Selection and Arbitration

Unit (MSU)

º Situation dependent selection of

the automation level

Driver State Assessment (DSA)

º Driver’s activity and driving perfor-

mance correlate with increasing

drowsiness level and distraction

º Fusion of direct (camera based)

and indirect (driver activity based)

attentiveness and drowsiness

information (fusion is based on

state and confidence parameters)

º Verification via simulator studies

Information → Warning → Take over request



Highly automated vehicle applications

Safety and functional architecture applications

Joint system Brake-by-wire Architecture migration

demonstrator truck demonstrator



Highly automated functions for use on public roads

Automated assistance in

roadworks and congestion

Temporary auto-pilot

Automated queue

assistance

Active green driving



Automated assistance in roadworks

and congestion

º Inquiry of the German expert organization

DEKRA among 1700 drivers about roadworks

46% feel here frequently uncertain

one out of six drivers (17%) feels sometimes „real fear“

usually 42% even avoid the left lane

º Challenging environment

multiple/missing lane marks

other vehicles

construction barriers

narrow space

Driver needs assistance but today's

assistance systems can’t provide

sufficient confidence to support him



Automated assistance

in roadworks and congestion

º Sensor system to

observe environment



Automated assistance in roadworks and congestion (ARC)

Example scenario: 1st system functionality


HAVEit – Milestones

Feb 2008 Jan 2009 Apr 2009 Jan 2010 Oct 2010 Jul 2011

Kick-off

meeting

M1

Requirement

and specification

phase completed

M2

Concept

phase

completed

M3

Generic

development

completed

M4

Vehicle integration

completed, first

system operation

M5

Optimised

demonstration

vehicles

Milestone status in progress

according

to plan

Milestones plan


HAVEit – Next steps

Remaining technical challenges for all HAVEit applications

º Implement further use cases and scenarios

º System optimisation

Perception layer: Sensors and data fusion

Command layer: Joint system driver – co-system including

mode selection and transitions

Execution layer: Control of vehicle actuators

HMI: Further harmonisation of HAVEit HMI

º Push (pre-)homologation activities

Pre-homologation of brake-by-wire system (e.g. for trucks)

Preparation of dissemination measures, in particular Final Event


HAVEit – Final Event

Don’t miss our final event

and save the date

Date: 21.6. and 22.6.2011 at

First Grand Hotel, Borås and

Volvo Proving Ground, Hällered,

Sweden

Interested to attend the event and

“feel” highly automated driving?

Please send an email with your

contact details to:

[email protected]

We are looking forward to

welcoming you to our final

event!

mailto:[email protected]




Vejforum 2010, 09 December 2010

Nyborg, Denmark

Thank you for your attention

More information:

http://www.HAVEit-eu.org

haveit highly automated vehicles for intelligent transport · 2011-07-31 · highly automated...

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