Indy Autonomous Challenge
The Indy Autonomous Challenge (IAC) is a series of races with full-scale autonomous race cars.
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Indy Autonomous Series | |
---|---|
Venue | Indianapolis Motor Speedway |
Location | Speedway, Indiana, U.S. |
Corporate sponsor | Cisco, Ansys, ADLINK, Hexagon, Luminar, Microsoft, Schaeffler, RTI, New Eagle, Valvoline |
First race | October 23, 2021 |
Most wins (team) | 1, TUM Autonomous Motorsport |
Circuit information | |
Surface | Asphalt |
Turns | 4 |
Lap record | - |
The original race took place on the Indianapolis Motor Speedway (IMS) in October 2021.[1][2] The challenge itself started in November 2019 and consisted of several rounds and hackathons in which the competing teams needed to demonstrate their ability to race autonomously. Each team competing in the final race on the IMS used the same vehicle hardware provided by the organizers. The goal of the IAC was purely to focus on the development of a full autonomous driving software stack that enabled perception, planning and control on the racetrack.[3] In total, 1.5 Million USD was provided as prizes for the winning teams.[4]
Further races have taken place at Texas Motor Speedway and Las Vegas Motor Speedway.
Overview
As a successor of the DARPA Grand Challenge, the IAC aimed to provide a challenging environment for the development of autonomous vehicles. University teams were invited to develop software[5] for solving the autonomous driving task, but in the challenging environment of a racetrack. During the competition, teams used simulation environments[6] and cloud computing to test and prove the maturity of their algorithms.[7] The IAC race cars were to drive up to 290 km/h (180 mph),[8] have high lateral and longitudinal accelerations, needed to plan their path in an adversarial environment and needed to drive safely and reliably with low computation times.[9] The IAC was therefore a proving ground for autonomous vehicles.[10] Overall, three main goals were tackled in the IAC:[11][12]
- Defining and solving edge case scenarios for autonomous vehicles.
- Catalyzing new autonomous driving technologies and innovations.
- Engaging the public in the competition to help ensure acceptance.
The efforts of the IAC were led by Energy System Network, an Indianapolis-based nonprofit.[13]
Indy Autonomous Challenge racecar: Dallara IL-15 IAC
For the IAC, a special autonomous race car was developed by Clemson University[14] in the Deep Orange Project[15][16][17] and was presented at the CES 2021.[18] The race car was based on a Dallara Indy Lights chassis[19] which was enhanced with computation hardware, sensors and controllers[20][21] to enable full automation on the racetrack.[22] The vehicle was called "Dallara IL-15 IAC racecar". It was rear-wheel drive, powered by an internal combustion engine that produced 335 kW (449 hp) and had a 6-speed sequential gearbox. To perceive the environment the vehicle was equipped with six monocameras, four Radars, three LiDARs[23] and an RTK GPS. As a main computation unit, commercial hardware was used that consisted of an Intel Xeon E 2278 GE – 3.30 GHz (CPU), 1x Nvidia Quadro RTX 8000 (GPU) as well as 64GB Ram.[24][25] The cars were assembled, serviced and maintained by an external company.[26]
The teams were required to purchase the race cars to take part in the final IAC race rounds 4 and 5.
2021 IAC Grand Prix | |||
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Race details | |||
Date | October 23, 2021 | ||
Official name | Indy Autonomous Challenge | ||
Location | Indianapolis Motor Speedway, Indianapolis, Indiana | ||
Course | Permanent racing facility | ||
Course length | 2.5 mi (4.0 km) | ||
Podium | |||
First |
| Technical University of Munich | |
Second |
| Univ. Modena, Univ. Pisa, ETH | |
Third |
| Politecnico di Milano |
- The Dallara IL-15 in front of the IMS Pagode
- The Dallara IL-15 Prototype at Clemson University
- The Dallara IL-15 Prototype at Clemson University
Timeline, rounds and rules
The IAC focused completely on the development of software for an autonomous race car; no hardware development was involved. The final challenge was to race with this software in the IAC race cars on the Indianapolis Motor Speedway. Along the way to the final race, the teams completed several rounds and hackathons that served as thresholds that competing teams were required to fulfill. The IAC consisted of 5 rounds that validated the competing teams' capabilities in general, and in software, before they were allowed to race head-to-head with the real cars.[27]
Round | Title | Dates/Deadline | Explanation | Price |
---|---|---|---|---|
0 | Registration | February 28, 2020 | Teams need to register themselves online | - |
1 | Launch | February 28, 2020 | Submission of a white paper that describes the team, history of automation, idea for the software pipeline etc. | - |
2 | Demonstration | May 20, 2020 | Teams need to demonstrate the ability to automate a passenger vehicle with one of the two following methods:
1. Submit a two- to three-minute video of a team-supplied and -programmed automated vehicle which demonstrates a range of functions (e.g. acceleration, deceleration, left/right turn); 2. Compete in the “evGrand Prix Autonomous Series” organized by Purdue University and sanctioned by the World Karting Association, taking place at the IMS in 2020. |
- |
3 | Simulation Race | June 30, 2021 | 1. Qualifying: Complete 10 virtual solo laps around the IMS oval (~25 miles) on an Organizer-supplied
and standardized automated vehicle simulator in 15 minutes or less (i.e. averaging ≥ 100 MPH avg.). Performance determines the starting position in the simulation race. 2. Head-to-Head Racing: The teams need to complete 20 virtual laps around the IMS oval (~50 miles) on an organizer-supplied and standardized automated vehicle simulator in a head-to-head virtual race among Teams in 30 minutes or less (i.e. averaging ≥ 100 MPH avg.) without impacting other vehicles’ abilities to compete. |
1. Place: $100,000 USD
2. Place: $50,000 USD |
4 | Race Qualification | October 21–22, 2021 | 1. Usage of driverless Dallara IL-15 IAC racecar
2. Complete 10 solo laps of the IMS (25 miles) in 15 minutes or less (≥ 100 MPH avg.) 3. Complete at least one of those laps in 75 seconds or less. (≥ 120 MPH) 4. Performance determines final race starting position. |
- |
5 | Final Race | October 23, 2021 | 1. Usage of driverless Dallara IL-15 IAC racecar
2. Head-to-head autonomous race 3. The teams must cross the finish line in 25 minutes or less (i.e. averaging ≥ 120 MPH) 4. The race endures 20-lap (~50 mile) |
1. Place: $1,000,000 USD
2. Place: $250,000 USD 3. Place: $50,000 USD |
Teams and competition results


Participation in the IAC was for accredited, tax-exempt colleges and university teams only.[28][29] After registration opened on 5 November 2019, 45 university teams in total registered for the IAC. While 6 teams did not submit a white paper for Round 1, 39 teams started in the challenge.[30] The competition was won by Team TUM Autonomous Motorsports from the Technical University of Munich.[31]
Team | University | Country | Round 1
(Launch) |
Round 2
(Demonstration) |
Round 3
(Simulation Race) |
Round 4
(Qualification) |
Round 5
(Final Race) | |
---|---|---|---|---|---|---|---|---|
Semifinal | Final | |||||||
TUM Autonomous Motorsport[32] | Technical University of Munich | ![]() |
White Paper | Video Submission | 2 | 2[33] | 2 | 1[34] |
Euroracing | University of Modena and Reggio Emilia | ![]() |
White Paper | Video Submission | DNF | DNQ | 1 | 2 |
University of Pisa | ![]() | |||||||
Polish Academy of Sciences | ![]() | |||||||
ETH Zurich | ![]() | |||||||
Polimove[35] | Politecnico di Milano | ![]() |
White Paper | Video Submission | 1 | 1[36] | 3 | 3 |
Cavalier Autonomous Racing[37] | University of Virginia | ![]() |
White Paper | Video Submission | DNS | DNQ | 4 | DNQ |
KAIST | Korea Advanced Institute of Science and Technology | ![]() |
White Paper | Video Submission | DNF | DNQ | 5 | 4 |
AI Racing Tech[38] | University of Hawaii | ![]() |
White Paper | Video Submission | 2 | DNF | DNF | DNQ |
University of California, San Diego | ![]() | |||||||
MIT-PITT-RW[39][40] | Massachusetts Institute of Technology (MIT) | ![]() |
White Paper | Video Submission | 5 | 4 | DNF | DNQ |
University of Pittsburgh | ![]() | |||||||
Rochester Institute of Technology | ![]() | |||||||
University of Waterloo | ![]() | |||||||
Autonomous Tiger Racing | Auburn University | ![]() |
White Paper | Video Submission | DNS | DNQ | DNS | DNQ |
Black & Gold
Autonomous Racing[41] |
Purdue University | ![]() |
White Paper | Video Submission | DNF | DNQ | DNF | DNQ |
United States Military Academy (West Point) | ![]() | |||||||
Reveille Racing | Texas A&M University | ![]() |
White Paper | Video Submission | 4 | 3 | Retired | |
WUT Driverless | Warsaw University of Technology | ![]() |
White Paper | Video Submission | 1 | DNF | Retired | |
Ariel Team[42] | Ariel University | ![]() |
White Paper | Video Submission | 3 | DNF | Retired | |
Crimson Autonomous Racing | University of Alabama | ![]() |
White Paper | Video Submission | DNF | DNQ | Retired | |
Pegasus | Colorado State University | ![]() |
White Paper | Video Submission | DNS | DNQ | Retired | |
Western Michigan University | ![]() | |||||||
IUPUI - IITKGP-USB | Indiana University-Purdue University Indianapolis | ![]() |
White Paper | Video Submission | DNS | DNQ | Retired | |
Indian Institute of Technology Kharagpur | ![]() | |||||||
Universidad De San Buenaventura | ![]() | |||||||
Berkeley MPC Lab | University of California, Berkeley | ![]() |
White Paper | Video Submission | Retired | |||
Eagle Autonomous | Embry-Riddle Aeronautical University | ![]() |
White Paper | Video Submission | Retired | |||
Gator Double Dragon | University of Florida | ![]() |
White Paper | Video Submission | Retired | |||
Kookmin University | ![]() | |||||||
Autonomous Racing Graz[43] | Graz University of Technology | ![]() |
White Paper | Video Submission | Retired | |||
Go Heels Racing | University of North Carolina at Chapel Hill | ![]() |
White Paper | Video Submission | Retired | |||
Indy Car Poly | California Polytechnica State University | ![]() |
White Paper | Video Submission | Retired | |||
- | Kennesaw State University | ![]() |
White Paper | Video Submission | Retired | |||
M@Auto | University of Michigan - Dearborn | ![]() |
White Paper | Video Submission | Retired | |||
Wisconsin Autonomous | University of Wisconsin-Madison | ![]() |
White Paper | Video Submission | Retired | |||
Spartan Autonomous | Michigan State University | ![]() |
White Paper | Video Submission | Retired | |||
Abhiyaan | Indian Institute of Technology Madras | ![]() |
White Paper | Retired | ||||
NA-SARATHY | Amrita Vishwa Vidyapeetham | ![]() |
White Paper | Retired | ||||
KA-Racing E.V. | Karlsruhe Institute of Technology | ![]() |
White Paper | Retired | ||||
- | Rensselaer Polytechnic Institute | ![]() |
No Submission | Retired | ||||
Rutgers RAM Lab | Rutgers University | ![]() |
No Submission | Retired | ||||
- | University of Illinois At Urbana-Champaign | ![]() |
No Submission | Retired | ||||
UCLA | University of California, Los Angeles | ![]() |
No Submission | Retired | ||||
UPenn | University of Pennsylvania | ![]() |
No Submission | Retired | ||||
Electric Jays | Johns Hopkins University | ![]() |
No Submission | Retired |
Key | |
---|---|
Colour | Result |
Gold | 1 |
Silver | 2 |
Bronze | 3 |
Green | Other Positions |
Purple | Retired along the competition (Retired) |
Red | Did not Qualify (DNQ) |
Blue | Did not Start (DNS) |
Yellow | Did not Finish (DNF) |
Black | No Submission, Withdrawn |
Autonomous Challenge @ CES
2022 IAC Grand Prix | |||
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Race details | |||
Date | January 7, 2022 | ||
Official name | Autonomous Challenge @CES | ||
Location | Las Vegas Motor Speedway, Las Vegas, Nevada | ||
Course | Permanent racing facility | ||
Course length | 1.54 mi (2.48 km) | ||
Podium | |||
First |
| Politecnico di Milano | |
Second |
| Technical University of Munich |
After the Indy Autonomous Challenge at Indianapolis it was decided to have another competition with the autonomous racecars. This competition was planned for January 07 2022 as part of the Consumer Electronics Show (CES) 2022 in Las Vegas. With the help of CES and ESN the goal was to host a head-to-head, high-speed autonomous racecar passing competition on the Las Vegas Motor Speedway. The event itself was limited to CES attendees but was live streamed.
On January 8, 2023 the event was held again also at Las Vegas Motor Speedway during CES. PoliMOVE won the event again over nine other teams from 17 universities representing 6 countries with a car that reached a top speed of around 180 mph (289.682 km/h) during the event.[44]
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{{cite web}}
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